12.1.6 2-D Points with 2-D Structures, Point Matching, Features

Simon, J.C., Checroun, A., Roche, C.,
A method of comparing two patterns independent of possible transformations and small distortions,
PR(4), No. 1, January 1972, pp. 73-81.
Elsevier DOI 0309
Ordering the Euclidian distances between the N points. BibRef

Kaye, B.H.[Brian H.],
Efficient pattern recognition in fine particle science,
PR(4), No. 2, May 1972, pp. 147-150.
Elsevier DOI 0309
BibRef

Medalia, A.I., Hornik, G.J.,
Pattern recognition problems in the study of carbon black,
PR(4), No. 2, May 1972, pp. 155-158.
Elsevier DOI 0309
BibRef

Schiller, M.[Michael],
Matcher,
US_Patent4,696,046, 09/22/1987.
HTML Version. BibRef 8709
Earlier: US_Patent4,618,988, 10/21/1986.
HTML Version. Match point patterns (finger print features). BibRef

Tichem, M., Cohen, M.S.,
Sub-Mu-M Registration of Fiducial Marks Using Machine Vision,
PAMI(16), No. 8, August 1994, pp. 791-794.
IEEE DOI Application, Registration. Not really circles, but circular fiducial marks. BibRef 9408

Hu, X.P., Ahuja, N.,
Matching Point Features With Ordered Geometric, Rigidity, and Disparity Constraints,
PAMI(16), No. 10, October 1994, pp. 1041-1049.
IEEE DOI BibRef 9410

Scott, G.L., and Longuet-Higgins, H.C.,
An Algorithm for Associating the Features of Two Images,
RoyalP(B-244), 1991, pp. 21-26. BibRef 9100
Earlier:
Feature grouping by 'relocalisation' of eigenvectors of the proximity matrix,
BMVC90(xx-yy).
PDF File. 9009
Point assignment. Proximity and uniqueness constraints using eigenvalue descriptions. A SVD of image proximity matrix. BibRef

Goshtasby, A.A.,
Image Registration by Local Approximation Methods,
IVC(6), No. 4, November 1988, pp. 255-261.
Elsevier DOI
See also 2-D and 3-D Image Registration: For Medical, Remote Sensing, and Industrial Applications. BibRef 8811

Goshtasby, A.A., and Stockman, G.C.,
Point Pattern Matching Using Convex Hull Edges,
SMC(15), 1985, pp. 631-637. Reduce the number of combinations that must be tried by using the convex hull. Use the completely connected graph if the hull itself gives a poor result. BibRef 8500

Shapiro, L.S.[Larry S.], Brady, J.M.[J. Michael],
Feature-Based Correspondence: An Eigenvector Approach,
IVC(10), No. 5, June 1992, pp. 283-288.
Elsevier DOI BibRef 9206
Earlier:
Modal Approach to Feature-Based Correspondence,
BMVC91(78-95).
PDF File. 9109
Proximity Matrix. Structure match using distance between points. Compare eigen structures on proximity matrix. Spectral graph matching approach. BibRef

Shapiro, L.S., and Brady, J.M.,
Rejecting Outliers and Esitmating Errors in an Orthogonal Regression Framework,
Royal(A-350), 1994, pp. 403-439. Point assignment problem. BibRef 9400

Shapiro, L.S., Zisserman, A., Brady, M.,
3D Motion Recovery via Affine Epipolar Geometry,
IJCV(16), No. 2, October 1995, pp. 147-182.
Springer DOI BibRef 9510
Earlier:
Motion from Point Matches Using Affine Epipolar Geometry,
ECCV94(B:73-84).
Springer DOI Uses all available features. Tracks corners through the sequence. BibRef

Murray, D.W., Shapiro, L.S.,
Dynamic Updating of Planar Structure and Motion: The Case of Constant Motion,
CVIU(63), No. 1, January 1996, pp. 169-181.
DOI Link
HTML Version. BibRef 9601

Shapiro, L.S.,
Affine Analysis of Image Sequences,
Ph.D.Thesis, 1993. BibRef 9300 Oxford Univ. BibRef
And: Cambridge University Press1995. ISBN 0-521-55063-7 Feature point selection, Long monocular sequences, corner tracking. Trajectory clustering. Camera pose determination. Rigid motion determination. BibRef

Fotedar, S., de Figueiredo, R.J.P., Krishen, K.,
Formulation and Error Analysis for a Generalized Image Point Correspondence Algorithm,
CVIP92(593-607). BibRef 9200

Vinod, V.V., Ghose, S.,
Point Matching Using Asymmetric Neural Networks,
PR(26), No. 8, August 1993, pp. 1207-1214.
Elsevier DOI BibRef 9308

Yuen, P.C., Tsang, P.W.M., and Lam, F.K.,
Robust Matching Process: A Dominant Point Approach,
PRL(15), 1994, pp. 1223-1233. Finding dominant points:
See also Detection of Dominant Points on an Object Boundary: A Discontinuity Approach. BibRef 9400

Starink, J.P.P.[J.P. Pascual], Backer, E.[Eric],
Finding Point Correspondences Using Simulated Annealing,
PR(28), No. 2, February 1995, pp. 231-240.
Elsevier DOI BibRef 9502

Starink, J.P.P.[J.P. Pascual], Werman, M.[Michael],
Affine Point Matching,
PRL(15), No. 4, April 1994, pp. 337-339. BibRef 9404

Govindu, V.M.[Venu Madhav], Werman, M.[Michael],
On using priors in affine matching,
IVC(22), No. 14, 1 December 2004, pp. 1157-1164.
Elsevier DOI 0412
BibRef

Pooja, A., Govindu, V.M.[Venu Madhav],
A multi-view extension of the ICP algorithm,
ICCVGIP10(235-242).
DOI Link 1111
BibRef

Morgera, S.D., Cheong, P.L.C.,
Rigid-Body Constrained Noisy Point Pattern-Matching,
IP(4), No. 5, May 1995, pp. 630-641.
IEEE DOI BibRef 9505

Skea, D., Barrodale, I., Kuwahara, R., Poeckert, R.,
A Control Point Matching Algorithm,
PR(26), No. 2, February 1993, pp. 269-276.
Elsevier DOI BibRef 9302

Bhaskar, S.K., Rosenfeld, A.[Azriel], Wu, A.[Angela],
Models for Neighbor Dependency in Planar Point Patterns,
PR(22), No. 5, 1989, pp. 533-559.
Elsevier DOI BibRef 8900

Rao, N.S.V.[Nageswara S.V.],
On Similarity Between Finite Sets in Plane,
PR(24), No. 9, 1991, pp. 891-893.
Elsevier DOI BibRef 9100

Cheng, F.H.[Fang-Hsuan],
Point Pattern-Matching Algorithm Invariant to Geometrical Transformation and Distortion,
PRL(17), No. 14, December 30 1996, pp. 1429-1435.
Elsevier DOI 9702
BibRef

Chang, S.H., Cheng, F.H., Hsu, W.H., Wu, G.Z.,
Fast Algorithm for Point Pattern-Matching: Invariant to Translations, Rotations and Scale Changes,
PR(30), No. 2, February 1997, pp. 311-320.
Elsevier DOI 9704
BibRef

Pla, F., Marchant, J.A.,
Matching Feature Points in Image Sequences Through a Region-Based Method,
CVIU(66), No. 3, June 1997, pp. 271-285.
DOI Link 9706
BibRef

Lindenbaum, M.[Michael],
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition,
PAMI(19), No. 11, November 1997, pp. 1251-1264.
IEEE DOI 9712
BibRef
Earlier:
On the amount of data required for reliable recognition,
ICPR94(A:726-729).
IEEE DOI 9410
2D objects and affine similarity. BibRef

Berthilsson, R.[Rikard], Heyden, A.[Anders],
Recognition of Planar Objects Using the Density of Affine Shape,
CVIU(76), No. 2, November 1999, pp. 135-145.
DOI Link 9911
BibRef
Earlier:
Recognition of planar point configurations using the density of affine shape,
ECCV98(I: 72).
Springer DOI BibRef

Berthilsson, R.,
Finding Correspondences of Patches by Means of Affine Transformations,
ICCV99(1117-1122).
IEEE DOI BibRef 9900

Johansson, J.O.[Jan-Olof],
Measuring homogeneity of planar point-patterns by using kurtosis,
PRL(21), No. 13-14, December 2000, pp. 1149-1156.
Elsevier DOI 0011
BibRef
Earlier:
Measuring Homogeneity of Planar Point-Patterns Using Kurtosis,
SCIA99(Industrial Applications). BibRef

Adam, A.[Amit], Rivlin, E.[Ehud], Shimshoni, I.[Ilan],
ROR: Rejection of Outliers by Rotations,
PAMI(23), No. 1, January 2001, pp. 78-84.
IEEE DOI 0101
BibRef
Earlier:
ROR: Rejection of Outliers by Rotations in Stereo Matching,
CVPR00(I: 2-9).
IEEE DOI 0005
Stereo leads to constraints in matching to improve results. Reject false matches. Does not use image features of the matched points. Rotate one image to generate a commen effect, those that deviate are outliers. BibRef

Kolomenkin, M.[Michael], Shimshoni, I.[Ilan], Tal, A.[Ayellet],
Prominent Field for Shape Processing and Analysis of Archaeological Artifacts,
IJCV(94), No. 1, August 2011, pp. 89-100.
WWW Link. 1101
BibRef
Earlier:
Prominent field for shape processing of archaeological artifacts,
DigArt09(915-922).
IEEE DOI 0910
BibRef

Kolomenkin, M.[Michael], Shimshoni, I.[Ilan],
Image Matching Using Photometric Information,
CVPR06(II: 2506-2514).
IEEE DOI 0606
BibRef

Kaplan, A., Rivlin, E., Shimshoni, I.,
Robust feature matching across widely separated color images,
ICPR04(II: 136-139).
IEEE DOI 0409
BibRef

Talker, L.[Lior], Moses, Y.[Yael], Shimshoni, I.[Ilan],
Using Spatial Order to Boost the Elimination of Incorrect Feature Matches,
CVPR16(1809-1817)
IEEE DOI 1612
BibRef

Williams, J.A.[John A.], Bennamoun, M.[Mohammed],
Simultaneous Registration of Multiple Corresponding Point Sets,
CVIU(81), No. 1, January 2001, pp. 117-142.
DOI Link 0102
BibRef
Earlier:
Multiple View Surface Registration with Error Modeling and Analysis,
ICIP00(Vol I: 545-548).
IEEE DOI 0008
BibRef
And:
Evaluation of a Novel Multiple Point Set Registration Algorithm,
ICPR00(Vol I: 1007-1010).
IEEE DOI 0009
BibRef

Bennamoun, M.[Mohammed], Williams, J.A.[John A.],
A Non-Linear Filtering Approach to Image Matching,
ICPR98(Vol I: 1-3).
IEEE DOI 9808
BibRef

Kumar, S.[Senthil], Sallam, M.[Maha], Goldgof, D.[Dmitry],
Matching point features under small nonrigid motion,
PR(34), No. 12, December 2001, pp. 2353-2365.
Elsevier DOI 0110
BibRef

Banks, J., Bennamoun, M.,
Reliability analysis of the rank transform for stereo matching,
SMC-B(31), No. 6, December 2001, pp. 870-880.
IEEE Top Reference. 0201
BibRef

Luo, B.[Bin], Hancock, E.R.[Edwin R.],
Iterative Procrustes alignment with the EM algorithm,
IVC(20), No. 5-6, 15 April 2002, pp. 377-396.
Elsevier DOI 0204
BibRef
Earlier:
Procrustes Alignment with the EM Algorithm,
CAIP99(623-631).
Springer DOI 9909
BibRef
And:
Matching Point-sets using Procrustes Alignment and the EM Algorithm,
BMVC99(Multi-View Techniques).
PDF File. BibRef

Luo, B.[Bin], Hancock, E.R.,
A unified framework for alignment and correspondence,
CVIU(92), No. 1, October 2003, pp. 26-55.
Elsevier DOI 0310
2D point-set alignment and correspondence matching. Recovery of pose parameters using relational constraints provided by the structural arrangement of the points. Procrustes model and point distribution model. BibRef

Griffin, A., Kittler, J.V.,
An active mesh based tracker for improved feature correspondences,
PRL(23), No. 4, February 2002, pp. 443-449.
Elsevier DOI 0202
BibRef
Earlier:
Coping with 3D Artifacts in Video Sequences,
ICPR00(Vol IV: 623-626).
IEEE DOI 0009
Fit mesh then match mesh planes, so model motion as a set of planes. BibRef

Maciel, J.[João], Costeira, J.P.[João P.],
Robust Point Correspondence by Concave Minimization,
IVC(20), No. 9-10, August 2002, pp. 683-690.
Elsevier DOI 0208
BibRef
Earlier:
Maximizing Rigidity: Optimal Matching under Scaled-Orthography,
ECCV02(II: 232 ff.).
Springer DOI 0205
Constraints from shape on matching. BibRef
And: BMVC00(xx-yy).
PDF File. 0009
BibRef

Maciel, J.[João], Costeira, J.P.[João P.],
A global solution to sparse correspondence problems,
PAMI(25), No. 2, February 2003, pp. 187-199.
IEEE DOI 0301
Correspondence between sparse point sets. BibRef

Marques, M.[Manuel], Stosic, M.[Marko], Costeira, J.P.[Joao P.],
Subspace matching: Unique solution to point matching with geometric constraints,
ICCV09(1288-1294).
IEEE DOI 0909
BibRef

Marques, M.[Manuel], Costeira, J.P.[Joao P.],
Lamp: Linear approach for matching points,
ICIP09(2113-2116).
IEEE DOI 0911
BibRef

Oliveira, R.[Ricardo], Xavier, J.M.F.[Joao M.F.], Costeira, J.P.[Joao P.],
Multi-view correspondence by enforcement of rigidity constraints,
IVC(25), No. 6, 1 June 2007, pp. 1008-1020.
Elsevier DOI 0704
BibRef
Earlier: A1, A3, A2:
Optimal Point Correspondence through the Use of Rank Constraints,
CVPR05(II: 1016-1021).
IEEE DOI 0507
BibRef
And: A1, A3, A2:
Contour point tracking by enforcement of rigidity constraints,
3DIM05(360-367).
IEEE DOI 0508
Multi-view correspondence; Feature matching; Factorization; Constrained optimization; Point correspondence; Structure from motion; Factorization method BibRef

Pires, B.R.[Bernardo Rodrigues], Moura, J.M.F.[Jose M.F.], Xavier, J.M.F.[Joao M.F.],
LASIC: A model invariant framework for correspondence,
ICIP08(2356-2359).
IEEE DOI 0810
BibRef

Mota, J.F.C.[João F.C.], Aguiar, P.M.Q.[Pedro M.Q.],
Efficient Methods for Point Matching with Known Camera Orientation,
ICIAR10(I: 210-219).
Springer DOI 1006
BibRef

Rodrigues, J.J.[Jose J.], Xavier, J.M.F.[Joao M.F.], Aguiar, P.M.Q.[Pedro M.Q.],
Classification of unlabeled point sets using ANSIG,
ICIP08(2360-2363).
IEEE DOI 0810
BibRef

Oliveira, R.[Ricardo], Ferreira, R., Costeira, J.J.[Joao J.],
Optimal Multi-frame Correspondence with Assignment Tensors,
ECCV06(III: 490-501).
Springer DOI 0608
BibRef

Wang, Y.[Yue], Woods, K., McClain, M.,
Information-theoretic matching of two point sets,
IP(11), No. 8, August 2002, pp. 868-872.
IEEE DOI 0209
BibRef

Zhang, L.H.[Li-Hua], Xu, W.L.[Wen-Li], Chang, C.[Cheng],
Genetic algorithm for affine point pattern matching,
PRL(24), No. 1-3, January 2003, pp. 9-19.
Elsevier DOI 0211
BibRef

Georgescu, B.[Bogdan], Meer, P.[Peter],
Point Matching under Large Image Deformations and Illumination Changes,
PAMI(26), No. 6, June 2004, pp. 674-688.
IEEE Abstract. 0404
Build on optical flow methods and matching of local color distributions. Use for tracking, optical flow, stereo. BibRef

van Wamelen, P.B., Li, Z., Iyengar, S.S.,
A fast expected time algorithm for the 2-D point pattern matching problem,
PR(37), No. 8, August 2004, pp. 1699-1711.
Elsevier DOI 0407
O(NlogM3/2) N in scene, M in model. BibRef

Shafique, K., Shah, M.[Mubarak],
A Noniterative Greedy Algorithm for Multiframe Point Correspondence,
PAMI(27), No. 1, January 2005, pp. 51-65.
IEEE Abstract. 0412
BibRef
Earlier: ICCV03(110-115).
IEEE DOI 0311
Point correspondence. Allow for entry/exit of features. BibRef

Li, B.H.[Bai-Hua], Meng, Q.G.[Qing-Gang], Holstein, H.[Horst],
Similarity K-d tree method for sparse point pattern matching with underlying non-rigidity,
PR(38), No. 12, December 2005, pp. 2391-2399.
Elsevier DOI 0510
BibRef
Earlier:
New method for sparse point-sets matching with underlying non-rigidity,
ICPR04(III: 8-11).
IEEE DOI 0409
BibRef

Navy, P.[Patrice], Page, V.[Vincent], Grandchamp, E.[Enguerran], Desachy, J.[Jacky],
Matching two clusters of points extracted from satellite images,
PRL(27), No. 4, March 2006, pp. 268-274.
Elsevier DOI 0602
Clusters of points; Homography; Image matching BibRef

Zheng, Y.F.[Ye-Feng], Doermann, D.[David],
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures,
PAMI(28), No. 4, April 2006, pp. 643-649.
IEEE DOI 0604
BibRef
Earlier:
Robust Point Matching for Two-Dimensional Nonrigid Shapes,
ICCV05(II: 1561-1566).
IEEE DOI 0510
BibRef

Caetano, T.S.[Tibério S.], Caelli, T.M.[Terry M.],
Approximating the problem, not the solution: An alternative view of point set matching,
PR(39), No. 4, April 2006, pp. 552-561.
Elsevier DOI 0604
BibRef
Earlier:
A Unified Formulation of Invariant Point Pattern Matching,
ICPR06(III: 121-124).
IEEE DOI 0609
Graphical models; Graph matching; Markov random fields BibRef

Caetano, T.S., Caelli, T.M., Schuurmans, D., Barone, D.A.C.,
Graphical Models and Point Pattern Matching,
PAMI(28), No. 10, October 2006, pp. 1646-1663.
IEEE DOI 0609
Provably optimal polynomial time for near-isometric point pattern matching via exact probabilistic inference in a graphical model. BibRef

Caetano, T.S., Caelli, T.M., Barone, D.A.C.,
A comparison of junction tree and relaxation algorithms for point matching using different distance metrics,
ICPR04(II: 124-127).
IEEE DOI 0409
BibRef

McAuley, J.J.[Julian J.], Caetano, T.S.[Tibério S.], Barbosa, M.S.[Marconi S.],
Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching,
PAMI(30), No. 11, November 2008, pp. 2047-2054.
IEEE DOI 0809
A graph based approach (
See also Graphical Models and Point Pattern Matching. ), with a different graph model. Maximal clique size is smaller thus more efficient.
See also Learning Graph Matching. BibRef

McAuley, J.J.[Julian J.], Caetano, T.S.[Tibério S.],
Fast matching of large point sets under occlusions,
PR(45), No. 1, 2012, pp. 563-569.
Elsevier DOI 1410
Point-pattern matching BibRef

Bishnu, A.[Arijit], Das, S.[Sandip], Nandy, S.C.[Subhas C.], Bhattacharya, B.B.[Bhargab B.],
Simple algorithms for partial point set pattern matching under rigid motion,
PR(39), No. 9, September 2006, pp. 1662-1671.
Elsevier DOI 0606
Point set pattern matching; Approximate matching; Fingerprint matching; Computational geometry BibRef

Briggs, A.J.[Amy J.], Detweiler, C.[Carrick], Li, Y.P.[Yun-Peng], Mullen, P.C.[Peter C.], Scharstein, D.[Daniel],
Matching scale-space features in 1D panoramas,
CVIU(103), No. 3, September 2006, pp. 184-195.
Elsevier DOI 0609
Panoramic; Omnidirectional; Scale-space; One-dimensional; Feature matching; Dynamic programming Interest point matching. BibRef

Yin, P.Y.[Peng-Yeng],
Particle swarm optimization for point pattern matching,
JVCIR(17), No. 1, February 2006, pp. 143-162.
Elsevier DOI 0711
Point pattern matching; Particle swarm optimization; Genetic algorithm; Simulated annealing; Local optimal solution; Global optimal solution
See also discrete particle swarm algorithm for optimal polygonal approximation of digital curves, A. BibRef

Denton, J.A.[Jason A.], Beveridge, J.R.[J. Ross],
An algorithm for projective point matching in the presence of spurious points,
PR(40), No. 2, February 2007, pp. 586-595.
Elsevier DOI 0611
BibRef
Earlier:
Two dimensional projective point matching,
Southwest02(77-81).
IEEE Top Reference. 0208
Geometric pattern recognition; Projective transform; Point matching BibRef

Zhang, W.B.[Wen-Bo], Gao, X.T.[Xin-Ting], Sung, E.[Eric], Sattar, F.[Farook], Venkateswarlu, R.[Ronda],
A feature-based matching scheme: MPCD and robust matching strategy,
PRL(28), No. 10, 15 July 2007, pp. 1222-1231.
Elsevier DOI 0706
Corner detection; Stereo matching; Epipolar geometry; Structure from motion BibRef

Tian, L.[Li], Kamata, S.I.[Sei-Ichiro],
A New Framework for Constructing Accurate Affine Invariant Regions,
IEICE(E90-D), No. 11, November 2007, pp. 1831-1840.
DOI Link 0711
BibRef
Earlier:
Near-Duplicate Detection Using a New Framework of Constructing Accurate Affine Invariant Regions,
Visual07(61-72).
Springer DOI 0706
BibRef
Earlier:
A Low-Complexity Deformation Invariant Descriptor,
ICPR06(II: 227-230).
IEEE DOI 0609
Using Hilbert Scans, pixel locations change, not values. BibRef

Tian, L.[Li], Kamata, S.I.[Sei-Ichiro],
An Efficient Algorithm for Point Matching Using Hilbert Scanning Distance,
ICPR06(III: 873-876).
IEEE DOI 0609
BibRef

McInroy, J.E.[John E.], Qi, Z.[Zhen],
A Novel Pose Estimation Algorithm Based on Points to Regions Correspondence,
JMIV(30), No. 2, February 2008, pp. 195-207.
Springer DOI 0801
BibRef

Balmashnova, E.G., Florack, L.M.J.,
Novel Similarity Measures for Differential Invariant Descriptors for Generic Object Retrieval,
JMIV(31), No. 2-3, July 2008, pp. 121-132.
WWW Link. 0711

See also Discrete Representation of Top Points via Scale Space Tessellation. BibRef

Balmashnova, E.G., Florack, L.M.J., Platel, B., Kanters, F.M.W., ter Haar Romeny, B.M.,
Stability of Top-Points in Scale Space,
ScaleSpace05(62-72).
Springer DOI 0505
BibRef

Demirci, M.F.[M. Fatih], Platel, B.[Bram], Shokoufandeh, A.[Ali], Florack, L.M.J.[Luc M.J.], Dickinson, S.J.[Sven J.],
The Representation and Matching of Images Using Top Points,
JMIV(35), No. 2, October 2009, pp. xx-yy.
Springer DOI 0907
BibRef

Platel, B., Demirci, M.F.[M. Fatih], Shokoufandeh, A., Florack, L.M.J., Kanters, F.M.W., ter Haar Romeny, B.M., Dickinson, S.J.,
Discrete Representation of Top Points via Scale Space Tessellation,
ScaleSpace05(73-84).
Springer DOI 0505

See also Novel Similarity Measures for Differential Invariant Descriptors for Generic Object Retrieval. BibRef

Demirci, M.F.[M. Fatih],
Efficient Shape Retrieval Under Partial Matching,
ICPR10(3057-3060).
IEEE DOI 1008
BibRef

Balmashnova, E.G., Platel, B., Florack, L.M.J., ter Haar Romeny, B.M.[Bart M.],
Object Matching in the Presence of Non-Rigid Deformations Close to Similarities,
NRTL07(1-8).
IEEE DOI 0710
BibRef
Earlier: A2, A1, A3, A4:
Top-Points as Interest Points for Image Matching,
ECCV06(I: 418-429).
Springer DOI 0608
BibRef

Platel, B., Kanters, F.M.W., Florack, L.M.J., Balmashnova, E.G.,
Using multiscale top points in image matching,
ICIP04(I: 389-392).
IEEE DOI 0505
BibRef

Kanters, F.M.W.[Frans M.W.], Platel, B.[Bram], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.M.[Bart M.],
Content Based Image Retrieval Using Multiscale Top Points: A Feasibility Study,
ScaleSpace03(33-43).
Springer DOI 0310
BibRef

Balmashnova, E.G.[Evgeniya G.], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.M.[Bart M.],
Feature Vector Similarity Based on Local Structure,
SSVM07(386-393).
Springer DOI 0705
BibRef

Kanters, F.M.W.[Frans M.W.], Denton, T.[Trip], Shokoufandeh, A.[Ali], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.M.[Bart M.],
Combining Different Types of Scale Space Interest Points Using Canonical Sets,
SSVM07(374-385).
Springer DOI 0705
BibRef

Ezoji, M.[Mehdi], Faez, K.[Karim], Rashidy Kanan, H.[Hamidreza], Mozaffari, S.[Saeed],
GA-Based Affine PPM Using Matrix Polar Decomposition,
IEICE(E89-D), No. 7, July 2006, pp. 2053-2060.
DOI Link 0607
PPM: Point pattern matching. Affine related point sets. BibRef

Paglieroni, D.W.[David W.], Eppler, W.G.[Walter G.],
Resolution analysis for Gradient Direction Matching of object model edges to overhead images,
CVIU(113), No. 2, February 2009, pp. 235-248.
Elsevier DOI 0901
Model matching; Gradient direction; FFT; Cueing; Broad area search; ROC curve Match gradient directions with pixel gradient directions rather then edges edges. BibRef

Choi, O.[Ouk], Kweon, I.S.[In So],
Robust feature point matching by preserving local geometric consistency,
CVIU(113), No. 6, June 2009, pp. 726-742.
Elsevier DOI 0904
BibRef
Earlier:
Reducing ambiguity in feature point matching by preserving local geometric consistency,
ICIP08(293-296).
IEEE DOI 0810
Wide-baseline stereo; Object recognition; Affine regions; Pairwise constraints; Relaxation labeling BibRef

Aiger, D.[Dror], Kedem, K.[Klara],
Approximate input sensitive algorithms for point pattern matching,
PR(43), No. 1, January 2010, pp. 153-159.
Elsevier DOI 0909
Geometric pattern matching; Hausdorff distance; Approximation; Randomization
See also GPU-based Algorithm For Approximately Finding The Largest Common Point Set In The Plane Under Similarity Transformation, A. BibRef

Rabin, J.[Julien], Delon, J.[Julie], Gousseau, Y.[Yann],
A Statistical Approach to the Matching of Local Features,
SIIMS(2), No. 3, 2009, pp. 931-958.
DOI Link BibRef 0900
Earlier:
A contrario matching of SIFT-like descriptors,
ICPR08(1-4).
IEEE DOI 0812
statistical analysis of matching processes; local feature matching; dissimilarity measure; Earth Mover's Distance; a contrario BibRef

Mazin, B.[Baptiste], Delon, J.[Julie], Gousseau, Y.[Yann],
Combining color and geometry for local image matching,
ICPR12(2667-2680).
WWW Link. 1302
BibRef

Xiong, Z.[Zhen], Zhang, Y.[Yun],
A Novel Interest-Point-Matching Algorithm for High-Resolution Satellite Images,
GeoRS(47), No. 12, December 2009, pp. 4189-4200.
IEEE DOI 0912

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Hu, Y.Q.[Yi-Qun], Cheng, X.G.[Xian-Gang], Chia, L.T.[Liang-Tien], Xie, X.[Xing], Rajan, D., Tan, A.H.[Ah-Hwee],
Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval,
MultMed(11), No. 8, December 2009, pp. 1434-1445.
IEEE DOI 0912
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Cheng, X.G.[Xian-Gang], Hu, Y.Q.[Yi-Qun], Chia, L.T.[Liang-Tien],
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CVIU(115), No. 6, June 2011, pp. 750-758.
Elsevier DOI 1104
Local dependency; Near-duplicate; Spatial-scale space; Conditional independence BibRef

Lian, W.[Wei], Zhang, L.[Lei], Liang, Y.[Yan], Pan, Q.[Quan],
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CVIU(114), No. 3, March 2010, pp. 322-333.
Elsevier DOI 1003
Point matching; Quadratic programming; Clustering POCS: Projections onto convex sets. BibRef

Lian, W.[Wei], Zhang, L.[Lei], Yang, M.H.[Ming-Hsuan],
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PAMI(39), No. 7, July 2017, pp. 1281-1293.
IEEE DOI 1706
Algorithm design and analysis, Annealing, Context, Linear programming, Optimization, Robustness, Branch and bound, concave optimization, linear assignment, point correspondence, robust, point, matching BibRef

Xie, W.J.[Wen-Jie], Xu, D.[De], Liu, S.Y.[Shuo-Yan], Tang, Y.J.[Ying-Jun],
How the Number of Interest Points Affect Scene Classification,
IEICE(E93-D), No. 4, April 2010, pp. 930-933.
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Xie, W.J.[Wen-Jie], Xu, D.[De], Tang, Y.J.[Ying-Jun], Cui, G.[Geng],
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IEICE(E94-D), No. 1, January 2011, pp. 167-170.
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Li, X.R.[Xiang-Ru], Hu, Z.Y.[Zhan-Yi],
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IJCV(89), No. 1, August 2010, pp. xx-yy.
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ICF (Identifying point correspondences by Correspondence Function). BibRef

Breitenreicher, D.[Dirk], Schnörr, C.[Christoph],
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MVA(21), No. 5, August 2010, pp. 601-611.
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Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence,
EMMCVPR09(274-287).
Springer DOI 0908
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Breitenreicher, D.[Dirk], Schnörr, C.[Christoph],
Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data,
IJCV(92), No. 1, March 2011, pp. 32-52.
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Silletti, A.[Alberto], Abate, A.[Alessandro], Axelrod, J.D.[Jeffrey D.], Tomlin, C.J.[Claire J.],
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PRL(32), No. 5, 1 April 2011, pp. 731-739.
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Point set matching; Transformations and correspondences; Registration; Similarity metrics; Spectral methods; Kernel methods BibRef

Papazov, C.[Chavdar], Burschka, D.[Darius],
Stochastic global optimization for robust point set registration,
CVIU(115), No. 12, December 2011, pp. 1598-1609.
Elsevier DOI 1111
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Earlier:
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes,
ACCV10(I: 135-148).
Springer DOI 1011
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Earlier:
Stochastic Optimization for Rigid Point Set Registration,
ISVC09(I: 1043-1054).
Springer DOI 0911
Rigid registration; Robust cost function; Stochastic global optimization; Generalized BSP tree; Hierarchical decomposition of SO(3); Uniform sampling from spherical boxes BibRef

Steger, C.T.[Carsten T.],
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Pose estimation; Least-squares adjustment 2D affine pose estimation. BibRef

Guo, X.J.[Xiao-Jie], Cao, X.C.[Xiao-Chun],
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Elsevier DOI 1203
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Earlier:
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IEEE DOI 1008
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Li, Q.[Qi],
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Stable interest points in texture. Apply to road sign detection. BibRef

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Springer DOI 1106
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Li, Q.[Qi], Xia, Z.H.[Zhong-Hang], Tao, D.C.[Da-Cheng],
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IEEE DOI 0911
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Ng, E.S., Kingsbury, N.G.,
Robust Pairwise Matching of Interest Points With Complex Wavelets,
IP(21), No. 8, August 2012, pp. 3429-3442.
IEEE DOI 1208
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Earlier:
Matching of interest point groups with pairwise spatial constraints,
ICIP10(2693-2696).
IEEE DOI 1009
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Gao, Y., Rathi, Y., Bouix, S., Tannenbaum, A.R.,
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IEEE DOI 1209
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Condello, G.[Giovanni], Pasteris, P.[Paolo], Pau, D.[Danilo], Sami, M.[Mariagiovanna],
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SP:IC(28), No. 4, April 2013, pp. 345-350.
Elsevier DOI 1304
GPU based feature matcher. Invariant points inside images. BibRef

Bhattacharya, P.[Priyadarshi], Gavrilova, M.L.[Marina L.],
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Bhattacharya, P.[Priyadarshi], Gavrilova, M.L.[Marina L.],
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Chen, P.W.[Peng-Wen], Lin, C.L.[Ching-Long], Chern, I.L.[I-Liang],
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Tang, J.[Jun], Shao, L.[Ling], Zhen, X.T.[Xian-Tong],
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Elsevier DOI 1312
Point pattern matching BibRef

Tang, J.[Jun], Shao, L.[Ling], Jones, S.[Simon],
Point pattern matching based on line graph spectral context and descriptor embedding,
WACV14(17-22)
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Sur, F., Noury, N., Berger, M.,
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Proença, H.[Hugo],
ReigSAC: fast discrimination of spurious keypoint correspondences on planar surfaces,
MVA(25), No. 3, April 2014, pp. 763-773.
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Christmas, J., Everson, R.M., Bell, J., Winlove, C.P.,
Inexact Bayesian point pattern matching for linear transformations,
PR(47), No. 10, 2014, pp. 3265-3275.
Elsevier DOI 1406
Bayesian methods BibRef

Han, Y.K.[You-Kyung], Choi, J.[Jaewan], Byun, Y.G.[Young-Gi], Kim, Y.I.[Yong-Il],
Parameter Optimization for the Extraction of Matching Points Between High-Resolution Multisensor Images in Urban Areas,
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IEEE DOI 1407
feature extraction BibRef

Goh, K.M.[Kam Meng], Abu-Bakar, S.A.R.[Syed A. Rahman], Mokji, M.M.[Musa M.], Sheikh, U.U.[Usman U.],
Enhanced Rotational Feature Points Matching using Orientation Correction,
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Muja, M.[Marius], Lowe, D.G.[David G.],
Scalable Nearest Neighbor Algorithms for High Dimensional Data,
PAMI(36), No. 11, November 2014, pp. 2227-2240.
IEEE DOI 1410
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Earlier:
Fast Matching of Binary Features,
CRV12(404-410).
IEEE DOI 1207
Approximation algorithms. based on priority search of multiple hierarchical clustering trees. For binary features such as BRIEF, ORB, and BRISK for local feature matching. BibRef

Yang, Y.[Yang], Ong, S.H.[Sim Heng], Foong, K.W.C.[Kelvin Weng Chiong],
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PR(48), No. 1, 2015, pp. 156-173.
Elsevier DOI 1410
Non-rigid point set registration BibRef

Zhang, S.[Su], Yang, K.[Kun], Yang, Y.[Yang], Luo, Y.[Yi], Wei, Z.[Ziquan],
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PR(80), 2018, pp. 183-195.
Elsevier DOI 1805
Registration, Dual-feature, Finite mixture model, Regularization, Structural preservation BibRef

Zhang, S.[Su], Yang, Y.[Yang], Yang, K.[Kun], Luo, Y.[Yi], Ong, S.H.,
Point Set Registration with Global-Local Correspondence and Transformation Estimation,
ICCV17(2688-2696)
IEEE DOI 1802
Gaussian processes, feature extraction, image registration, image representation, image segmentation, GL-CATE, Shape BibRef

Li, H., Huang, X., Huang, J., Zhang, S.,
Feature Matching with Affine-Function Transformation Models,
PAMI(36), No. 12, December 2014, pp. 2407-2422.
IEEE DOI 1411
Computational modeling. Transformation for each point in template point set. BibRef

de Sousa, S.[Samuel], Kropatsch, W.G.[Walter G.],
Graph-based point drift: Graph centrality on the registration of point-sets,
PR(48), No. 2, 2015, pp. 368-379.
Elsevier DOI 1411
Point set registration BibRef

de Sousa, S.[Samuel], Kropatsch, W.G.[Walter G.],
Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem,
GbRPR15(13-22).
Springer DOI 1511
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Zhu, J.H.[Ji-Hua], Meng, D.Y.[De-Yu], Li, Z.Y.[Zhong-Yu], Du, S.Y.[Shao-Yi], Yuan, Z.J.[Ze-Jian],
Robust registration of partially overlapping point sets via genetic algorithm with growth operator,
IET-IPR(8), No. 10, October 2014, pp. 582-590.
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genetic algorithms BibRef

Kim, S.[Sujung], Paeng, K.[Kyunghyun], Seo, J.W.[Ja-Won], Kim, S.D.[Seong Dae],
Bi-DCT: DCT-based Local Binary Descriptor for Dense Stereo Matching,
SPLetters(22), No. 7, July 2015, pp. 847-851.
IEEE DOI 1412
discrete cosine transforms BibRef

Dupej, J.[Ján], Krajícek, V.[Václav], Pelikán, J.[Josef],
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Point set registration BibRef

Jiang, B.[Bo], Tang, J.[Jin], Luo, B.[Bin], Lin, L.[Liang],
Robust Feature Point Matching With Sparse Model,
IP(23), No. 12, December 2014, pp. 5175-5186.
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computational complexity BibRef

Jiang, B.[Bo], Tang, J.[Jin], Luo, B.[Bin],
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IEEE DOI 2007
Signal processing algorithms, Optimization, Task analysis, Computational modeling, Approximation algorithms, sparse models BibRef

Maris, B.M.[Bogdan M.], Fiorini, P.[Paolo],
Generalized Shapes and Point Sets Correspondence and Registration,
JMIV(52), No. 2, June 2015, pp. 218-233.
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Image retrieval BibRef

Wang, X.J.[Xiang-Jun], Li, Y.[Yang], Wei, H.[Hong], Liu, F.[Feng],
An ASIFT-Based Local Registration Method for Satellite Imagery,
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Kovalsky, S.Z.[Shahar Z.], Glasner, D., Basri, R.,
A Global Approach for Solving Edge-Matching Puzzles,
SIIMS(8), No. 2, 2015, pp. 916-938.
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Tao, W.B.[Wen-Bing], Sun, K.[Kun],
Robust Point Sets Matching by Fusing Feature and Spatial Information Using Nonuniform Gaussian Mixture Models,
IP(24), No. 11, November 2015, pp. 3754-3767.
IEEE DOI 1509
BibRef
Earlier:
Asymmetrical Gauss Mixture Models for Point Sets Matching,
CVPR14(1598-1605)
IEEE DOI 1409
Gaussian processes BibRef

Sun, K.[Kun], Li, P.R.[Pei-Ran], Tao, W.B.[Wen-Bing], Liu, L.M.[Li-Man],
Point Sets Matching by Feature-Aware Mixture Point Matching Algorithm,
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Springer DOI 1504
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Moreno-García, C.F.[Carlos Francisco], Serratosa, F.[Francesc],
Consensus of multiple correspondences between sets of elements,
CVIU(142), No. 1, 2016, pp. 50-64.
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Moreno-García, C.F.[Carlos Francisco], Serratosa, F.[Francesc],
Obtaining the consensus of multiple correspondences between graphs through online learning,
PRL(87), No. 1, 2017, pp. 79-86.
Elsevier DOI 1703
Attributed graphs
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Moreno-García, C.F.[Carlos Francisco], Serratosa, F.[Francesc], Cortés, X.[Xavier],
Generalised Median of a Set of Correspondences Based on the Hamming Distance,
SSSPR16(507-518).
Springer DOI 1611
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Earlier:
Consensus of Two Graph Correspondences Through a Generalisation of the Bipartite Graph Matching,
GbRPR15(87-97).
Springer DOI 1511
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Earlier: A1, A3, A2:
Iterative Versus Voting Method to Reach Consensus Given Multiple Correspondences of Two Sets,
IbPRIA15(530-540).
Springer DOI 1506
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Hu, Y., Lin, Y., Chen, H., Hsu, K., Chen, B.,
Matching Images With Multiple Descriptors: An Unsupervised Approach for Locally Adaptive Descriptor Selection,
IP(24), No. 12, December 2015, pp. 5995-6010.
IEEE DOI 1512
Coherence BibRef

Li, Y.J.[Yu-Jian], Zeng, S.F.[Shao-Feng], Yang, Y.[Yong],
Image Matching with Multi-order Features,
SPLetters(22), No. 12, December 2015, pp. 2214-2218.
IEEE DOI 1512
codecs BibRef

Wang, Z.H.[Zhi-Heng], Wang, Z.F.[Zhi-Fei], Liu, H.M.[Hong-Min], Huo, Z.Q.[Zhan-Qiang],
Scale-invariant feature matching based on pairs of feature points,
IET-CV(9), No. 6, 2015, pp. 789-796.
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Gaussian processes BibRef

Liu, H.M.[Hong-Min], Li, L.[Lu], Wang, Z.H.[Zhi-Heng], Huo, Z.Q.[Zhan-Qiang],
STBD: a simple tri-bit binary descriptor for point matching,
IET-CV(11), No. 8, December 2017, pp. 691-701.
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Dinh, V.Q., Pham, C.C., Jeon, J.W.,
Matching cost function using robust soft rank transformations,
IET-IPR(10), No. 7, 2016, pp. 561-569.
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image matching BibRef

Uzyildirim, F.E.[Furkan Eren], Özuysal, M.[Mustafa],
Instance detection by keypoint matching beyond the nearest neighbor,
SIViP(10), No. 8, November 2016, pp. 1527-1534.
Springer DOI 1610
Look at K nearest matches. BibRef

Qian, D.H.[De-Heng], Chen, T.S.[Tian-Shi], Qiao, H.[Hong],
Background of shape contexts for point matching,
PRL(84), No. 1, 2016, pp. 114-119.
Elsevier DOI 1612
Point matching BibRef

Qu, H.B.[Han-Bing], Wang, J.Q.[Jia-Qiang], Li, B., Yu, M.,
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PAMI(39), No. 2, February 2017, pp. 371-384.
IEEE DOI 1702
Approximation algorithms BibRef

Qu, H.B.[Han-Bing], Li, J.C.[Ji-Chao], Wang, J.Q.[Jia-Qiang], Xiang, L.[Lin], Tao, H.J.[Hai-Jun],
Robust Point Set Matching under Variational Bayesian Framework,
ICPR14(58-63)
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Approximation algorithms BibRef

Wang, G.[Gang], Zhou, Q.Q.[Qiang-Qiang], Chen, Y.,
Robust Non-Rigid Point Set Registration Using Spatially Constrained Gaussian Fields,
IP(26), No. 4, April 2017, pp. 1759-1769.
IEEE DOI 1704
computer vision BibRef

Wang, G.[Gang], Wang, Z.C.[Zhi-Cheng], Chen, Y., Zhou, Q.Q.[Qiang-Qiang], Zhao, W.D.[Wei-Dong],
Context-Aware Gaussian Fields for Non-rigid Point Set Registration,
CVPR16(5811-5819)
IEEE DOI 1612
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Wang, G.[Gang], Wang, Z.C.[Zhi-Cheng], Zhao, W.D.[Wei-Dong], Zhou, Q.Q.[Qiang-Qiang],
Robust Point Matching Using Mixture of Asymmetric Gaussians for Nonrigid Transformation,
ACCV14(IV: 433-444).
Springer DOI 1504
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Li, Y., Jin, H., Wu, J., Liu, J.,
Establishing Keypoint Matches on Multimodal Images With Bootstrap Strategy and Global Information,
IP(26), No. 6, June 2017, pp. 3064-3076.
IEEE DOI 1705
Buildings, Computational efficiency, Computational modeling, Image edge detection, Measurement, Reliability, Multimodal image registration, bootstrap, global information, keypoint, matching BibRef

Svärm, L.[Linus], Enqvist, O.[Olof], Kahl, F.[Fredrik], Oskarsson, M.[Magnus],
City-Scale Localization for Cameras with Known Vertical Direction,
PAMI(39), No. 7, July 2017, pp. 1455-1461.
IEEE DOI 1706
BibRef
Earlier: A1, A2, A4, A3:
Accurate Localization and Pose Estimation for Large 3D Models,
CVPR14(532-539)
IEEE DOI 1409
Localization; Optimization; Polynomial solvers; Pose Estimation. Cameras, Computational modeling, Robustness, Solid modeling, Localization, camera pose, position retrieval. BibRef

Fredriksson, J.[Johan], Enqvist, O.[Olof], Kahl, F.[Fredrik],
Fast and Reliable Two-View Translation Estimation,
CVPR14(1606-1612)
IEEE DOI 1409
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Ardö, H.[Håkan], Svärm, L.[Linus],
Bayesian Formulation of Gradient Orientation Matching,
CVS15(91-103).
Springer DOI 1507
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Ask, E.[Erik], Enqvist, O.[Olof], Svärm, L.[Linus], Kahl, F.[Fredrik], Lippolis, G.[Giuseppe],
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ECCV14(I: 393-406).
Springer DOI 1408
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Maiseli, B.[Baraka], Gu, Y.F.[Yan-Feng], Gao, H.J.[Hui-Jun],
Recent developments and trends in point set registration methods,
JVCIR(46), No. 1, 2017, pp. 95-106.
Elsevier DOI 1706
Point, matching BibRef

Zhang, H.Y.[Hong-Yan], Luo, J.Z.[Jia-Zhen], Wang, Z.[Zihao], Ma, L.[Long], Niu, Y.F.[Yi-Fan],
An accelerated matching algorithm for SIFT-like features,
ICIVC17(103-107)
IEEE DOI 1708
Acceleration, Algorithm design and analysis, Cameras, Euclidean distance, Feature extraction, Filtering, Indexes, ANN, SIFT features, feature matching BibRef

Nikolikos, N.[Nikolaos], Psarakis, E.Z.[Emmanouil Z.], Lamprinou, N.[Nefeli],
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PRL(95), No. 1, 2017, pp. 58-64.
Elsevier DOI 1708
Image alignment BibRef

Wang, H.,
Residual-Consensus Driven Linear Matching,
CirSysVideo(27), No. 10, October 2017, pp. 2141-2152.
IEEE DOI 1710
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Earlier: VCIP15(1-4)
IEEE DOI 1605
Approximation algorithms, Estimation, Image matching, Linear programming, Mathematical programming, Robustness, Deformable matching. BibRef

Wang, G.[Gang], Chen, Y.F.[Yu-Fei], Zheng, X.W.[Xiang-Wei],
Gaussian field consensus: A robust nonparametric matching method for outlier rejection,
PR(74), No. 1, 2018, pp. 305-316.
Elsevier DOI 1711
Gaussian field BibRef

Deng, W.X.[Wan-Xia], Zou, H.X.[Huan-Xin], Guo, F.[Fang], Lei, L.[Lin], Zhou, S.L.[Shi-Lin],
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VC(34), No. 1, January 2018, pp. 55-65.
WWW Link. 1801
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Earlier:
Point Pattern Matching based on point pair local nonuniform ODT and Spectral Matching,
ICIVC16(3-8)
IEEE DOI 1610
eigenvalues and eigenfunctions BibRef

Novack, T.[Tessio], Peters, R.[Robin], Zipf, A.[Alexander],
Graph-Based Matching of Points-of-Interest from Collaborative Geo-Datasets,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Evangelidis, G.D.[Georgios D.], Horaud, R.[Radu],
Joint Alignment of Multiple Point Sets with Batch and Incremental Expectation-Maximization,
PAMI(40), No. 6, June 2018, pp. 1397-1410.
IEEE DOI 1805
Algorithm design and analysis, Clustering algorithms, Iterative closest point algorithm, Mixture models, mixture models BibRef

Evangelidis, G.D.[Georgios D.], Kounades-Bastian, D.[Dionyssos], Horaud, R.[Radu], Psarakis, E.Z.[Emmanouil Z.],
A Generative Model for the Joint Registration of Multiple Point Sets,
ECCV14(VII: 109-122).
Springer DOI 1408
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Li, L., Yang, M., Wang, C., Wang, B.,
Cubature Split Covariance Intersection Filter-Based Point Set Registration,
IP(27), No. 8, August 2018, pp. 3942-3953.
IEEE DOI 1806
Kalman filters, approximation theory, image filtering, image registration, iterative methods, evolution algorithm BibRef

Li, L., Yang, M., Wang, C., Wang, B.,
Rigid Point Set Registration Based on Cubature Kalman Filter and Its Application in Intelligent Vehicles,
ITS(19), No. 6, June 2018, pp. 1754-1765.
IEEE DOI 1806
Approximation algorithms, Convergence, Intelligent vehicles, Iterative closest point algorithm, Predictive models, Robustness, intelligent vehicles BibRef

Deng, W.X.[Wan-Xia], Zou, H.X.[Huan-Xin], Guo, F.[Fang], Lei, L.[Lin], Zhou, S.L.[Shi-Lin], Luo, T.C.[Tian-Cheng],
A robust non-rigid point set registration method based on inhomogeneous Gaussian mixture models,
VC(34), No. 10, October 2018, pp. 1399-1414.
Springer DOI 1809
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Huang, Z.D.[Zhou-Di], Wei, Z.Z.[Zhen-Zhong], Zhang, G.J.[Guang-Jun],
BALG: An alternative for fast and robust feature matching,
JVCIR(60), 2019, pp. 129-139.
Elsevier DOI 1903
Feature matching, Binary descriptor, Affine invariant, Sequence order, Local geometric check BibRef

Ahmed, S.M.[Sk. Miraj], Das, N.R.[Niladri Ranjan], Chaudhury, K.N.[Kunal Narayan],
Least-squares registration of point sets over SE(d) using closed-form projections,
CVIU(183), 2019, pp. 20-32.
Elsevier DOI 1906
Registration, Semidefinite programming, ADMM BibRef

Wu, Z.Z.[Zong-Ze], Chen, H.C.[Hong-Chen], Du, S.[Shaoyi], Fu, M.Y.[Min-Yue], Zhou, N.[Nan], Zheng, N.N.[Nan-Ning],
Correntropy based scale ICP algorithm for robust point set registration,
PR(93), 2019, pp. 14-24.
Elsevier DOI 1906
Iterative closest point, Correntropy, Scale transformation, Point set registration, Outliers BibRef

Du, S.[Shaoyi], Xu, G.L.[Guang-Lin], Zhang, S.[Sirui], Zhang, X.T.[Xue-Tao], Gao, Y.[Yue], Chen, B.[Badong],
Robust rigid registration algorithm based on pointwise correspondence and correntropy,
PRL(132), 2020, pp. 91-98.
Elsevier DOI 2005
Iterative closest point (ICP), Correntropy, Outliers, Noises, Rigid registration BibRef

Orrite, C.[Carlos], Herrero, E.[Elias], Valencia, M.[Mauricio],
From Features to Attribute Graphs for Point Set Registration,
IbPRIA19(I:437-448).
Springer DOI 1910
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Huang, J.F.[Jian-Feng], Liu, Y.[Yuefeng], Chen, Y.[Yue], Jia, C.[Chen],
Dynamic Recommendation of POI Sequence Responding to Historical Trajectory,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link 1910
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Deng, Y.[Yue], Luo, A.[An], Liu, J.P.[Ji-Ping], Wang, Y.[Yong],
Point of Interest Matching between Different Geospatial Datasets,
IJGI(8), No. 10, 2019, pp. xx-yy.
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Hu, S.[Siyu], Chen, X.J.[Xue-Jin], Tong, X.[Xin],
Point sets joint registration and co-segmentation,
VC(35), No. 12, December 2018, pp. 1841-1853.
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Directed point set, Registration and matching, TPS BibRef

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Image Feature Correspondence Selection: A Comparative Study and a New Contribution,
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Image feature correspondence, feature matching, correspondence selection, inliers BibRef

Li, L., Yang, M., Wang, C., Wang, B.,
Robust Point Set Registration Using Signature Quadratic Form Distance,
Cyber(50), No. 5, May 2020, pp. 2097-2109.
IEEE DOI 2005
Robustness, Iterative closest point algorithm, Optimization, Gaussian distribution, signature quadratic form distance BibRef

Lian, W.[Wei], Zhang, L.[Lei],
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Concave optimization, Point matching, Branch-and-bound, Linear assignment, Global optimization BibRef

Li, C.M.[Cheng-Ming], Liu, L.[Li], Dai, Z.X.[Zhao-Xin], Liu, X.L.[Xiao-Li],
Different Sourcing Point of Interest Matching Method Considering Multiple Constraints,
IJGI(9), No. 4, 2020, pp. xx-yy.
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Ma, X.K.[Xin-Ke], Xu, S.J.[Shi-Jin], Zhou, J.[Jie], Yang, Q.L.[Qing-Lu], Yang, Y.[Yang], Yang, K.[Kun], Ong, S.H.[Sim Heng],
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Point set registration, Image registration, Gaussian variational mixture model, Variational inference BibRef

Piech, M.[Mateusz], Smywinski-Pohl, A.[Aleksander], Marcjan, R.[Robert], Siwik, L.[Leszek],
Towards Automatic Points of Interest Matching,
IJGI(9), No. 5, 2020, pp. xx-yy.
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Wang, J.X.[Jing-Xue], Zhang, N.[Ning], Wu, X.Q.[Xiang-Qian], Wang, W.X.[Wei-Xi],
Hierarchical Point Matching Method Based on Triangulation Constraint and Propagation,
IJGI(9), No. 6, 2020, pp. xx-yy.
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Dai, J.[Ji], Jin, S.W.[Shi-Wei], Zhang, J.K.[Jun-Kang], Nguyen, T.Q.[Truong Q.],
Boosting Feature Matching Accuracy With Pairwise Affine Estimation,
IP(29), 2020, pp. 8278-8291.
IEEE DOI 2008
Feature extraction, Pipelines, Estimation, Detectors, Shape, Training, Feature matching, image matching, support region BibRef

Zhu, J.H.[Ji-Hua], Guo, R.[Rui], Li, Z.Y.[Zhong-Yu], Zhang, J.[Jing], Pang, S.M.[Shan-Min],
Registration of Multi-View Point Sets Under the Perspective of Expectation-Maximization,
IP(29), 2020, pp. 9176-9189.
IEEE DOI 2010
Iterative closest point algorithm, Robustness, Solid modeling, point set registration BibRef

Yang, Y., Fan, D., Du, S., Wang, M., Chen, B., Gao, Y.,
Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE Loss,
Cyber(51), No. 3, March 2021, pp. 1678-1689.
IEEE DOI 2102
Kernel, Loss measurement, Noise measurement, Linear programming, Robustness, Cybernetics, Data models, Affine, similarity BibRef

Chen, J.X.[Jia-Xuan], Chen, S.[Shuang], Chen, X.X.[Xiao-Xian], Yang, Y.[Yang], Xing, L.J.[Lin-Jie], Fan, X.Y.[Xiao-Yan], Rao, Y.J.[Yu-Jing],
LSV-ANet: Deep Learning on Local Structure Visualization for Feature Matching,
GeoRS(60), 2022, pp. 1-18.
IEEE DOI 2112
Feature extraction, Visualization, Task analysis, Deep learning, Strain, Estimation, Adaptation models, Attention network, remote sensing BibRef

He, Z.X.[Zai-Xing], Shen, C.T.[Chen-Tao], Wang, Q.Y.[Quan-You], Zhao, X.Y.[Xin-Yue], Jiang, H.L.[Hui-Long],
Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Maharjan, A.[Amar], Yuan, X.H.[Xiao-Hui],
Registration of Human Point Set using Automatic Key Point Detection and Region-aware Features,
WACV22(2264-2272)
IEEE DOI 2202
Animals, Manuals, Probabilistic logic, Feature extraction, Cameras, Vision Systems and Applications BibRef

Liao, Q.F.[Qian-Fang], Sun, D.[Da], Zhang, S.Y.[Shi-Yu], Loutfi, A.[Amy], Andreasson, H.[Henrik],
Fuzzy Cluster-Based Group-Wise Point Set Registration With Quality Assessment,
IP(32), 2023, pp. 550-564.
IEEE DOI 2301
Quality assessment, Measurement, Registers, Probability distribution, Point cloud compression, Optimization, 3D point sets BibRef

Li, X.[Xinyi], Liu, Y.L.[Yin-Long], Xia, Y.[Yan], Lakshminarasimhan, V.[Venkatnarayanan], Cao, H.[Hu], Zhang, F.H.[Fei-Hu], Stilla, U.[Uwe], Knoll, A.[Alois],
Fast and deterministic (3+1)DOF point set registration with gravity prior,
PandRS(199), 2023, pp. 118-132.
Elsevier DOI 2305
Point set registration, Gravity direction, Consensus maximization, Branch and bound, Simultaneous pose and correspondence registration BibRef

Liu, Y.[Yang], Cui, X.[Ximin], Wang, Q.[Qiang], Sun, Y.B.[Yan-Biao],
Improved Identification for Point-Distributed Coded Targets with Self-Adaption and High Accuracy in Photogrammetry,
RS(15), No. 11, 2023, pp. 2859.
DOI Link 2306
close-range photogrammetry. Becomes point set matching. BibRef

Truong, P.[Prune], Danelljan, M.[Martin], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network,
PAMI(45), No. 8, August 2023, pp. 10247-10266.
IEEE DOI 2307
BibRef
Earlier: A1, A2, A4, A3:
Learning Accurate Dense Correspondences and When to Trust Them,
CVPR21(5710-5720)
IEEE DOI 2111
Uncertainty, Estimation, Probabilistic logic, Optical flow, Task analysis, Reliability, Correspondence estimation, 3D reconstruction. Training, Pose estimation, Predictive models, Probabilistic logic BibRef

Truong, P.[Prune], Danelljan, M.[Martin], Yu, F.[Fisher], Van Gool, L.J.[Luc J.],
Warp Consistency for Unsupervised Learning of Dense Correspondences,
ICCV21(10326-10336)
IEEE DOI 2203
Training, Geometry, Codes, Semantics, Benchmark testing, Task analysis, Motion and tracking, BibRef

Liu, J.Y.[Jun-Yuan], Liang, A.[Ao], Zhao, E.[Enbo], Pang, M.Q.[Ming-Qi], Zhang, D.J.[Dai-Jun],
Homography Matrix-Based Local Motion Consistent Matching for Remote Sensing Images,
RS(15), No. 13, 2023, pp. 3379.
DOI Link 2307
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Zhao, W.Y.[Wei-Yue], Lu, H.[Hao], Cao, Z.G.[Zhi-Guo], Li, X.[Xin],
A2B: Anchor to Barycentric Coordinate for Robust Correspondence,
IJCV(131), No. 10, October 2023, pp. 2582-2606.
Springer DOI 2309
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Zhao, C.[Chen], Cao, Z.G.[Zhi-Guo], Li, C.[Chi], Li, X.[Xin], Yang, J.Q.[Jia-Qi],
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences,
CVPR19(215-224).
IEEE DOI 2002
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Wijesinghe, J.[Janith], Chen, P.W.[Peng-Wen],
Matrix Balancing Based Interior Point Methods for Point Set Matching Problems,
SIIMS(16), No. 3, 2023, pp. 1068-1105.
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Du, S.L.[Si-Liang], Xiao, Y.[Yilin], Huang, J.W.[Jing-Wei], Sun, M.W.[Ming-Wei], Liu, M.Z.[Ming-Zhong],
Guided Local Feature Matching with Transformer,
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Meli, N.L.[Natacha Luete], Mannel, F.[Florian], Lellmann, J.[Jan],
An Iterative Quantum Approach for Transformation Estimation from Point Sets,
CVPR22(519-527)
IEEE DOI 2210
Annealing, Estimation, Quantum annealing, Pattern recognition, Iterative methods, Optimization methods, Computer vision theory BibRef

Tudor, A.R.[Alexis R.], Stone, G.[Gunner], Tavakkoli, A.[Alireza], Hand, E.M.[Emily M.],
Classification of Rigid and Non-Rigid Transformations with Autoencoder Representations,
ICIP21(854-858)
IEEE DOI 2201
Machine learning algorithms, Neural networks, Transfer learning, Streaming media, Real-time systems, Classification algorithms, feature matching BibRef

Sun, J.M.[Jia-Ming], Shen, Z.[Zehong], Wang, Y.[Yuang], Bao, H.J.[Hu-Jun], Zhou, X.W.[Xiao-Wei],
LoFTR: Detector-Free Local Feature Matching with Transformers,
CVPR21(8918-8927)
IEEE DOI 2111
Location awareness, Visualization, Costs, Feature detection, Pose estimation, Transforms, Detectors BibRef

Li, J.X.[Jia-Xin], Lee, G.H.[Gim Hee],
DeepI2P: Image-to-Point Cloud Registration via Deep Classification,
CVPR21(15955-15964)
IEEE DOI 2111
Laser radar, Correlation, Codes, Robot vision systems, Neural networks BibRef

Ali, S.A.[Sk Aziz], Kahraman, K.[Kerem], Reis, G.[Gerd], Stricker, D.[Didier],
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D-Tree Representation,
CVPR21(13095-13105)
IEEE DOI 2111
Deep learning, Laser radar, Neural networks, Benchmark testing, Registers, Pattern recognition BibRef

Lotfian, S.[Sina], Foroosh, H.[Hassan],
Multi-Scale Keypoint Matching,
ICPR21(5168-5175)
IEEE DOI 2105
Deep learning, Shape, Transform coding, Lighting, Visual systems, Feature extraction, Biology, Scale-Space, Local Features, Keypoint matching BibRef

Furuta, R.[Ryosuke], Noguchi, N.[Naoaki], Wang, X.T.[Xue-Ting], Yamasaki, T.[Toshihiko],
Feature Point Matching in Cross-Spectral Images with Cycle Consistency Learning,
ICPR21(3759-3766)
IEEE DOI 2105
Filtering, Training data, Gray-scale, Feature extraction, Search problems, Task analysis, Unsupervised learning BibRef

Wang, Y., Yang, X., Wang, X., Ke, C., Wang, Q.,
Application of improved SURF algorithm in real scene matching and recognition,
CVIDL20(536-541)
IEEE DOI 2102
feature extraction, image matching, improved SURF algorithm, feature extraction, multiscale FAST corners, KNN two-way matching BibRef

Saito, Y.[Yuki], Nakamura, T.[Takuma], Hachiya, H.[Hirotaka], Fukumizu, K.[Kenji],
Exchangeable Deep Neural Networks for Set-to-set Matching and Learning,
ECCV20(XVII:626-646).
Springer DOI 2011
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Yew, Z.J., Lee, G.H.,
RPM-Net: Robust Point Matching Using Learned Features,
CVPR20(11821-11830)
IEEE DOI 2008
Iterative closest point algorithm, Feature extraction, Robustness, Annealing, Noise measurement, Machine learning BibRef

Sarlin, P.E.[Paul-Edouard], de Tone, D.[Daniel], Malisiewicz, T.[Tomasz], Rabinovich, A.[Andrew],
SuperGlue: Learning Feature Matching With Graph Neural Networks,
CVPR20(4937-4946)
IEEE DOI 2008
Neural networks, Visualization, Image edge detection, Task analysis, Pose estimation, Simultaneous localization and mapping BibRef

Iglesias, J.P., Olsson, C., Kahl, F.,
Global Optimality for Point Set Registration Using Semidefinite Programming,
CVPR20(8284-8292)
IEEE DOI 2008
Eigenvalues and eigenfunctions, Cost function, Matrices, Programming, Spectral analysis BibRef

Liu, X., Zhang, Z., Leontie, R., Stylianou, A., Pless, R.,
2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets,
WACV20(2539-2547)
IEEE DOI 2006
Data visualization, Tools, Principal component analysis, Loss measurement, Cost function, Standards BibRef

Zhou, J., Ma, X., Liang, L., Yuhe, L., Xu, S., Ong, S., Yang, Y.,
Robust Variational Bayesian Point Set Registration,
ICCV19(9904-9913)
IEEE DOI 2004
Bayes methods, belief networks, covariance analysis, image registration, inference mechanisms, tree data structures, Linear programming BibRef

Ziegler, M.[Markus], Rudorfer, M.[Martin], Kroischke, X.[Xaver], Krone, S.[Sebastian], Krüger, J.[Jörg],
Point Pair Feature Matching: Evaluating Methods to Detect Simple Shapes,
CVS19(445-456).
Springer DOI 1912
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Tan, Q., Zhao, H., Wu, W.,
The Corresponding Points Screening Algorithm Based On Gaussian Kernel Fuzzy Clustering,
PIA19(215-219).
DOI Link 1912
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Germain, H.[Hugo], Bourmaud, G.[Guillaume], Lepetit, V.[Vincent],
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching,
ECCV20(III:626-643).
Springer DOI 2012
BibRef
Earlier:
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization,
3DV19(513-523)
IEEE DOI 1911
Feature extraction, Cameras, Visualization, Pipelines, Image retrieval, long term, visual, sparse to dense BibRef

Golyanik, V., Theobalt, C.,
Optimising for Scale in Globally Multiply-Linked Gravitational Point Set Registration Leads to Singularities,
3DV19(164-172)
IEEE DOI 1911
Shape, Potential energy, Energy resolution, Uncertainty, Calculus, Force, multivariate calculus BibRef

Huang, W., Han, J., Yang, W., Liu, Y.L.,
Logistic Regression of Point Matches for Accurate Transformation Estimation,
3DV18(409-417)
IEEE DOI 1812
feature extraction, image matching, least squares approximations, regression analysis, transformation estimation, point matches, Accurate underlying transformation BibRef

Sun, Y.F.[Yi-Fan], Liang, Z.X.[Zhen-Xiao], Huang, X.R.[Xiang-Ru], Huang, Q.X.[Qi-Xing],
Joint Map and Symmetry Synchronization,
ECCV18(VI: 257-275).
Springer DOI 1810
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Wang, X.[Xi], Christie, M.[Marc], Marchand, E.[Eric],
Multiple Layers of Contrasted Images for Robust Feature-Based Visual Tracking,
ICIP18(241-245)
IEEE DOI 1809
Keypoints on each layer (contrast-enhanced versions of original). Lighting, Robustness, Simultaneous localization and mapping, Detectors, Visualization, Optimization, Brightness, SLAM BibRef

de la Fraga, L.G.[Luis Gerardo], Hernandez, H.C.[Heriberto Cruz],
Point Set Matching with Order Type,
MCPR18(229-237).
Springer DOI 1807
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Kristo, K., Seng, C.C.[Chua Chin],
Optimized Window Arrangement for Spatial Pyramid Matching Scheme,
ICPR14(1395-1400)
IEEE DOI 1412
Dictionaries BibRef

Li, Y.[Yue], Wang, B.[Bin], Gao, Y.S.[Yong-Sheng], Zhou, J.[Jun],
Affine Invariant Point-Set Matching Using Convex Hull Bisection,
DICTA16(1-8)
IEEE DOI 1701
Australia BibRef

Campbell, D.[Dylan], Petersson, L.[Lars],
GOGMA: Globally-Optimal Gaussian Mixture Alignment,
CVPR16(5685-5694)
IEEE DOI 1612
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Zhang, Z.[Zhen], Shi, Q.F.[Qin-Feng], McAuley, J.[Julian], Wei, W.[Wei], Zhang, Y.N.[Yan-Ning], van den Hengel, A.J.[Anton J.],
Pairwise Matching through Max-Weight Bipartite Belief Propagation,
CVPR16(1202-1210)
IEEE DOI 1612
Enforce 1-to-1 matching BibRef

Danelljan, M., Meneghetti, G., Khan, F.S., Felsberg, M.[Michael],
Aligning the dissimilar: A probabilistic method for feature-based point set registration,
ICPR16(247-252)
IEEE DOI 1705
BibRef
And:
A Probabilistic Framework for Color-Based Point Set Registration,
CVPR16(1818-1826)
IEEE DOI 1612
Color, Feature extraction, Image color analysis, Probabilistic logic, Robustness, Shape, Three-dimensional, displays BibRef

Wu, S.[Song], Lew, M.S.[Michael S.],
Image Correspondences Matching Using Multiple Features Fusion,
LocalFea16(III: 737-746).
Springer DOI 1611
CNN, patch based. BibRef

Huang, X., Zhang, J., Wu, Q., Yuan, C., Fan, L.,
Dense Correspondence Using Non-Local DAISY Forest,
DICTA15(1-8)
IEEE DOI 1603
computer vision BibRef

Campbell, D., Petersson, L.,
An Adaptive Data Representation for Robust Point-Set Registration and Merging,
ICCV15(4292-4300)
IEEE DOI 1602
Gaussian mixture model BibRef

Zhou, T.H.[Ting-Hui], Lee, Y.J.[Yong Jae], Yu, S.X.[Stella X.], Efros, A.A.[Alexei A.],
FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences,
CVPR15(1191-1200)
IEEE DOI 1510
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Jayawardena, S.[Srimal], Gould, S.[Stephen], Li, H.D.[Hong-Dong], Hutter, M.[Marcus], Hartley, R.I.[Richard I.],
Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces,
RoLoD14(659-674).
Springer DOI 1504
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Panaganti, V.[Varun], Aravind, R.,
Robust Nonrigid Point Set Registration Using Graph-Laplacian Regularization,
WACV15(1137-1144)
IEEE DOI 1503
Context; Kernel; Noise; Noise measurement; Robustness; Shape; Vectors BibRef

Miyan, S.B.[Saba Batool], Sato, J.[Jun],
Finding Corresponding Patches in Texture Images Using Tensor Consistency Check,
ICPR14(4021-4026)
IEEE DOI 1412
Patches, not points. Across multiple views. BibRef

Resch, B.[Benjamin], Lang, J.[Jochen], Lensch, H.P.A.[Hendrik P.A.],
Local Image Feature Matching Improvements for Omnidirectional Camera Systems,
ICPR14(918-923)
IEEE DOI 1412
Calibration BibRef

El-Mashad, S.Y.[Shady Y.], Shoukry, A.A.[Amin A.],
Towards a Robust Scale Invariant Feature Correspondence,
PReMI15(33-43).
Springer DOI 1511
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Earlier:
A More Robust Feature Correspondence for more Accurate Image Recognition,
CRV14(181-188)
IEEE DOI 1406
Databases BibRef

Braux-Zin, J.[Jim], Dupont, R.[Romain], Bartoli, A.E.[Adrien E.],
A General Dense Image Matching Framework Combining Direct and Feature-Based Costs,
ICCV13(185-192)
IEEE DOI 1403
SIFT BibRef

Gilinsky, A.[Alexandra], Zelnik-Manor, L.[Lihi],
SIFTpack: A Compact Representation for Efficient SIFT Matching,
ICCV13(777-784)
IEEE DOI 1403
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Yu, C.[Chuan], Tian, L.[Lu], Hu, H.[Han], Duan, Y.Q.[Yue-Qi], Zhou, J.[Jie],
Progressive feature matching via triplet graph,
ICIP15(1860-1864)
IEEE DOI 1512
Feature point matching BibRef

Xu, X.W.[Xian-Wei], Yu, C.[Chuan], Zhou, J.[Jie],
Robust feature point matching based on geometric consistency and affine invariant spatial constraint,
ICIP13(2077-2081)
IEEE DOI 1402
Feature point matching BibRef

Zhang, P.P.[Peng-Peng], Wang, S.Z.[Sheng-Zheng], Qiao, Y.[Yu], Yang, J.[Jie], Gao, Y.H.[Yong-Hui],
Affine SoftAssign with bidirectional distance for point matching,
ICIP13(1267-1271)
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Algorithm design and analysis BibRef

Perra, D.[David], Frahm, J.M.[Jan-Michael],
Cloud-scale Image Compression Through Content Deduplication,
BMVC14(xx-yy).
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de Neyer, Q.[Quentin], de Vleeschouwer, C.[Christophe],
A Resource Allocation Framework for Adaptive Selection of Point Matching Strategies,
ACIVS13(366-377).
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Ok, D.[David], Marlet, R.[Renaud], Audibert, J.Y.[Jean-Yves],
Efficient and Scalable 4th-Order Match Propagation,
ACCV12(I:460-473).
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point matching, geometric consistency. BibRef

Alqaisi, T., Gledhill, D., Olszewska, J.I.,
Embedded double matching of local descriptors for a fast automatic recognition of real-world objects,
ICIP12(2385-2388).
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matching SIFT descriptors BibRef

Xu, H.H.[Hui-Hui], Liu, J.D.[Jun-Dong], Smith, C.D.[Charles D.],
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Luana, X.,
A Structure-based Approach For Matching Road Junctions With Different Coordinate Systems,
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Meskine, F.[Fatiha], Taleb, N.[Nasreddine], Almhdie-Imjabber, A.[Ahmad],
A 2D Rigid Point Registration for Satellite Imaging Using Genetic Algorithms,
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Carrasco, M.[Miguel], Mery, D.[Domingo],
Bifocal Matching Using Multiple Geometrical Solutions,
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Novák, D.[David], Baltsavias, E.[Emmanuel], Schindler, K.[Konrad],
Reliable Image Matching with Recursive Tiling,
PIA11(49-60).
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Tiling in addition to interest point matching. Need many matches, with wide viewpoint changes. BibRef

Sushkov, O.O., Sammut, C.,
Local image feature matching for object recognition,
ICARCV10(1598-1604).
IEEE DOI 1109
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Wang, J.W.[Jun-Wei], Zhou, Y.[Yu], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu],
Shape Matching and Recognition Using Group-Wised Points,
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Zhou, Y.[Yu], Wang, J.W.[Jun-Wei], Zhou, Q.[Quan], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu],
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ICIG11(344-349).
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Gava, C.C.[Christiano Couto], Hengen, J.M.[Jean-Marc], Taetz, B.[Bertram], Stricker, D.[Didier],
Keypoint Detection and Matching on High Resolution Spherical Images,
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Cui, Y.[Yan], Pagani, A.[Alain], Stricker, D.[Didier],
Robust Point Matching in HDRI through Estimation of Illumination Distribution,
DAGM11(226-235).
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Manninen, T.[Tapio], Rönkkä, R.[Risto], Huttunen, H.[Heikki],
Point Pattern Matching for 2-D Point Sets with Regular Structure,
SCIA11(156-165).
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Thomas, S.J.[Stephen J.], MacDonald, B.A.[Bruce A.], Stol, K.A.[Karl A.],
Real-Time Robust Image Feature Description and Matching,
ACCV10(II: 334-345).
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Stentiford, F.[Fred], Bamidele, A.[Ade],
Image recognition using maximal cliques of interest points,
ICIP10(1121-1124).
IEEE DOI 1009
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Tamersoy, B.[Birgi], Aggarwal, J.K.,
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AVSS10(488-488).
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Yarkony, J.[Julian], Fowlkes, C.C.[Charless C.], Ihler, A.[Alexander],
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Su, J.[Juan], Xu, Q.S.[Qing-Song], Zhu, J.H.[Jing-Hua],
A scene matching algorithm based on SURF feature,
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Tal, R.[Ron], Spetsakis, M.E.[Minas E.],
Probabilistic Framework for Feature-Point Matching,
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Posse, A.[Alberto], Torres, J.[Juan], Menendez, J.M.[Jose Manuel],
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Mills, S.[Steven],
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ICIP13(3484-3488)
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Image matching;feature correspondence;object recognition BibRef

Fourie, J., Green, R., Mills, S.,
An accurate Harmony Search based algorithm for the blind deconvolution of binary images,
IVCNZ10(1-8).
IEEE DOI 1203
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Directed correspondence search: Finding feature correspondences in images using the Harmony Search algorithm,
IVCNZ09(102-107).
IEEE DOI 0911
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Wang, Z.Z.[Zhuo-Zheng], Mei, Y.L.[Ya-Lei], Jia, K.B.[Ke-Bin],
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Chin, T.J.[Tat-Jun], Suter, D.[David],
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Use distances between key points more completely. BibRef

Dickinson, S.J.[Sven J.],
Beyond one-to-one feature correspondence: The need for many-to-many matching and image abstraction,
SIG09(12-12).
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Xu, L.F.[Lie-Fei], Dinh, H.Q.[H. Quynh], Zhang, E.[Eugene], Lin, Z.Z.[Zhong-Zang], Laramee, R.S.[Robert S.],
A distribution-based approach to tracking points in velocity vector fields,
CVPR09(2663-2670).
IEEE DOI 0906
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Xu, L.F.[Lie-Fei], Dinh, H.Q.[H. Quynh],
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ICPR08(1-4).
IEEE DOI 0812
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Domke, J.[Justin], Aloimonos, Y.F.[Yi-Fannis],
Signals on Pencils of Lines,
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Nordberg, K.[Klas],
Point Matching Constraints in Two and Three Views,
DAGM07(52-61).
Springer DOI 0709
BibRef
And:
Single-View Matching Constraints,
ISVC07(II: 397-406).
Springer DOI 0711
BibRef

Karlsson, J.[Johan], Astrom, K.[Kalle],
MDL patch correspondences on unlabeled images,
ICPR08(1-5).
IEEE DOI 0812
BibRef
And:
MDL patch correspondences on unlabeled images with occlusions,
NORDIA08(1-8).
IEEE DOI 0806
BibRef

Åström, K.[Kalle], Karlsson, J.[Johan], Enqvist, O.[Olof], Ericsson, A.[Anders], Kahl, F.[Fredrik],
Automatic Feature Point Correspondences and Shape Analysis with Missing Data and Outliers Using MDL,
SCIA07(21-30).
Springer DOI 0706
BibRef

Ericsson, A.[Anders], Karlsson, J.[Johan],
Aligning Shapes by Minimising the Description Length,
SCIA05(709-718).
Springer DOI 0506
BibRef

Slot, K.[Krzysztof], Korbel, P.[Piotr], Kim, H.[Hyongsuk], Lee, M.[Malrey], Ko, S.H.[Su-Hong],
Parallel Implementation of Elastic Grid Matching Using Cellular Neural Networks,
MIRAGE07(472-481).
Springer DOI 0703
BibRef

Martin, L.[Lucile], Leroux, C.[Christophe], Pissaloux, E.E.[Edwige E.],
Statistical feature point matching method,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Süsse, H.[Herbert], Ortmann, W., Voss, K.[Klaus],
A Novel Approach for Affine Point Pattern Matching,
ICIAR06(II: 434-444).
Springer DOI 0610
BibRef

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
Point Pattern Matching Via Spectral Geometry,
SSPR06(459-467).
Springer DOI 0608
BibRef

Robles-Kelly, A.[Antonio], Moses, Y.[Yael],
Transitivity-based Removal of Correspondence Outliers for Motion Analysis,
PercOrg06(202).
IEEE DOI 0609
BibRef

Wang, L.[Lu], Li, Y.L.[Yu-Ling], Cai, Z.X.[Zi-Xing],
Topological Localization Based on Salient Regions in Unknown Environments,
ICPR06(II: 369-372).
IEEE DOI 0609
BibRef

McNeill, G.[Graham], Vijayakumar, S.[Sethu],
A Probabilistic Approach to Robust Shape Matching,
ICIP06(937-940).
IEEE DOI 0610
BibRef
Earlier:
Part-Based Probabilistic Point Matching,
ICPR06(II: 382-386).
IEEE DOI 0609
BibRef

McNeill, G.[Graham], Vijayakumar, S.[Sethu],
Hierarchical Procrustes Matching for Shape Retrieval,
CVPR06(I: 885-894).
IEEE DOI 0606
BibRef

Wang, J.Q.[Jun-Qiu], Zha, H.B.[Hong-Bin], Cipolla, R.[Roberto],
Efficient Topological Localization Using Orientation Adjacency Coherence Histograms,
ICPR06(II: 271-274).
IEEE DOI 0609
Hierarchical -- first Orientation Adjacency Coherence Histograms for coarse, then fine with interest points. BibRef

Yeung, S.K.[Sai Kit], Shi, P.C.[Peng-Cheng],
Stochastic Framework for Symmetric Affine Matching between Point Sets,
ICPR06(III: 790-793).
IEEE DOI 0609
BibRef

Chiu, H.P.[Han-Pang], Lozano-Perez, T.[Tomas],
Matching Interest Points Using Affine Invariant Concentric Circles,
ICPR06(II: 167-170).
IEEE DOI 0609
BibRef

Lourakis, M.I.A., Argyros, A.A., Marias, K.,
A graph-based approach to corner matching using mutual information as a local similarity measure,
ICPR04(II: 827-830).
IEEE DOI 0409
BibRef

Tsin, Y.H.[Yang-Hai], Kanade, T.[Takeo],
A Correlation-Based Approach to Robust Point Set Registration,
ECCV04(Vol III: 558-569).
Springer DOI 0405
BibRef

Tsin, Y.,
Kernel Correlation as an Affinity Measure in Point-Sampled Vision Problems,
CMU-RI-TR-03-36, September, 2003. BibRef 0309 Ph.D.Thesis.
HTML Version. 0501
BibRef

McGuinness, P.J.[Peter J.], Chen, G.Q.[George Q.], Stein, C.M.[Clifford M.], Ng, K.C.[Kim C.],
Scalable architecture for corresponding multiple video streams at frame rate,
US_Patent7,054,491, May 30, 2006
WWW Link. BibRef 0605

Chen, G.Q.[George Qian],
Robust Point Feature Matching in Projective Space,
CVPR01(I:717-722).
IEEE DOI 0110
Point matching in multiple images. BibRef

Jung, I.K.[Il-Kyun], Lacroix, S.[Simon],
A Robust Interest Points Matching Algorithm,
ICCV01(II: 538-543).
IEEE DOI 0106
BibRef

Baumberg, A.M.[Adam Michael],
Image processing method and apparatus,
US_Patent6,975,755, Dec 13, 2005
WWW Link. BibRef 0512

Baumberg, A.M.[Adam M.],
Reliable Feature Matching across Widely Separated Views,
CVPR00(I: 774-781).
IEEE DOI 0005
applied to stereo BibRef

Tico, M.[Marius], Rusu, C.[Corneliu], Kuosmanen, P.[Pauli],
A Geometric Invariant Representation for The Identification of Corresponding Points,
ICIP99(II:462-466).
IEEE DOI BibRef 9900

Cunnington, S.J., Stoddart, A.,
N-View point set registration: A comparison,
BMVC99(Posters/Demos).
PDF File. BibRef 9900

Goldberger, J.,
Registration of Multiple Point Sets using the EM Algorithm,
ICCV99(730-736).
IEEE DOI BibRef 9900

Leclerc, Y.G.[Yvan G.], Luong, Q.T.[Q. Tuan], Fua, P.[Pascal],
Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms,
DARPA98(793-808).
PDF File. BibRef 9800

Leclerc, Y.G., Luong, Q.T., Fua, P.V.,
Measuring the Self-Consistency of Stereo Algorithms,
ECCV00(I: 282-298).
Springer DOI 0003

PDF File. BibRef

Smith, P.A.[Paul A.], Sinclair, D., Cipolla, R., Wood, K.,
Effective Corner Matching,
BMVC98(xx-yy). BibRef 9800

Bedekar, A.S.[Anand S.], Haralick, R.M.[Robert M.],
Finding Correspondence Points Based on Bayesian Triangulation,
CVPR96(61-66).
IEEE DOI BibRef 9600

Thacker, N.A., Courtney, P.,
Statistical Analysis of a Stereo Matching Algorithm,
BMVC92(316-326).
PDF File. Corner matching. BibRef 9200

Murtagh, F.,
A feature-based O(N2) approach to point pattern matching,
ICPR92(II:174-177).
IEEE DOI 9208
BibRef

Wakahara, T.,
Dot image matching using local affine transformation,
ICPR90(I: 837-841).
IEEE DOI 9006
BibRef

Stephens, M.J.,
Matching Features from Edge-Processed Image Sequences,
Alvey87(185-188). Matching of edge points, using feature differences. BibRef 8700

Hong, J., Tan, X.,
A New Approach to Point Pattern Matching,
ICPR88(I: 82-84).
IEEE DOI BibRef 8800

Singer, M.H.,
Significant Feature Detection and Matching in Image Pairs,
IJCAI87(829-831). BibRef 8700

Zhang, D.Z.,
Perspective Invariant Description of Planar Point Set and Their Application in Matching,
ICPR86(1266-1268). BibRef 8600

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Clustering and Accumulation Array Techniques .