12.1.3.3 Image Registration -- Using Edges, Lines, Curves, and Corner and other Features

Andrus, J.F., Campbell, C.W., and Jayroe, R.R.,
Digital Image Registration Method Using Boundary Maps,
TC(24), No. 9, September 1975, pp. 935-940. (NASA Huntsville). This method uses binary boundary maps to register images with limited differences in both translation and rotation. The edge data is correlated by summing over the edges that overlap for each possible translation, with the maximum value giving the correct translation. The orientation change is limited by what can be described as a local translation. The edge data gives improvements in speed over standard correlation or Fourier based techniques and is less prone to changes due to changes in the scene characteristics. By storing the edges as sequences of edge elements, the computational effort is also reduced. The basic concepts are similar to those used in the later segment matching programs. BibRef 7509

Barnea, D.I., and Silverman, H.F.,
A Class of Algorithms for Fast Digital Image Registration,
TC(21), No. 2, February 1972, pp. 179-186. Uses corners for matching. BibRef 7202

Jiang, Z., Lu, W.,
A New Digital Image Registration Algorithm Based on the Double Spatial Intensity Gradients Using Pyramids,
PRL(8), 1988, pp. 335-340. BibRef 8800

Peregrim, T.J.[Theodore J.], Long, A.H.[Albert H.], Kanter, I.[Irving],
Confirmed boundary pattern matching III,
US_Patent5,168,529, Dec 1, 1992
WWW Link. BibRef 9212

Peregrim, T.J.[Theodore J.], Richter, S.L.[Stephen L.], Roy, R.E.[Richard E.],
Confirmed boundary pattern matching I,
US_Patent5,018,218, May 21, 1991
WWW Link. BibRef 9105

Peregrim, T.J.[Theodore J.], Kettering, G.L.[Gordon L.], Kanter, I.[Irving],
Confirmed boundary pattern matching II,
US_Patent5,027,422, Jun 25, 1991
WWW Link. Image alignment BibRef 9106

Li, H., Manjunath, B.S., Mitra, S.K.,
A Contour-Based Approach to Multisensor Image Registration,
IP(4), No. 3, March 1995, pp. 320-334.
IEEE DOI
PDF File. BibRef 9503

Tommaselli, A.M.G.[Antonio M.G.], Tozzi, C.L.,
A Recursive Approach to Space Resection Using Straight-Lines,
PhEngRS(62), No. 1, January 1996, pp. 57-66. BibRef 9601

Szeliski, R.S., Coughlan, J.M.,
Spline-Based Image Registration,
IJCV(22), No. 3, March/April 1997, pp. 199-218.
DOI Link 9706
BibRef
And: DEC-CRL-94-1, April 1994.
HTML Version. BibRef
And: US_Patent5,611,000, March 11, 1997.
WWW Link. BibRef
Earlier:
Hierarchical Spline-Based Image Registration,
CVPR94(194-201).
IEEE DOI Optical flow computation. BibRef

Davatzikos, C., Prince, J.L., Bryan, R.N.,
Image registration based on boundary mapping,
MedImg(15), No. 1, February 1996, pp. 112-115.
IEEE Top Reference. 0203
BibRef

Tseng, Y.H., Tzen, J.J., Tang, K.P., Lin, S.H.,
Image-to-Image Registration by Matching Area Features Using Fourier Descriptors and Neural Networks,
PhEngRS(63), No. 8, August 1997, pp. 975-983. 9708
BibRef

Hsieh, J.W., Liao, H.Y.M., Fan, K.C., Ko, M.T., Hung, Y.P.,
Image Registration Using a New Edge-Based Approach,
CVIU(67), No. 2, August 1997, pp. 112-130.
DOI Link 9708

See also New Wavelet-Based Edge Detector via Constrained Optimization, A. BibRef

Hsieh, J.W., Liao, H.Y.M., Fan, K.C., Ko, M.T.,
A Fast Algorithm for Image Registration without Predetermining Correspondences,
ICPR96(I: 765-769).
IEEE DOI 9608
(National Central Univ., ROC) BibRef

Dai, X., Khorram, S.,
A Feature-Based Image Registration Algorithm Using Improved Chain-Code Representation Combined with Invariant Moments,
GeoRS(37), No. 5, September 1999, pp. 2351.
IEEE Top Reference. BibRef 9909

Banerjee, S., Mukherjee, D.P., Dutta Majumdar, D.,
Point Landmarks for Registration of CT and MR-Images,
PRL(16), No. 10, October 1995, pp. 1033-1042. BibRef 9510

Wang, W.H., Chen, Y.C.,
Image Registration by Control Points Pairing Using the Invariant Properties of Line Segments,
PRL(18), No. 3, March 1997, pp. 269-281. 9706
BibRef

Dowman, I.J.[Ian J.], Ruskone, R.[Renaud],
Extraction of Polygonal Features form Satellite Images for Automatic Registration: The ARCHANGEL Project,
Ascona97(343-354). Match satellite data with map data using areal features rather than point features. BibRef 9700

Shinagawa, Y.[Yoshihisa], Kunii, T.L.[Tosiyasu L.],
Unconstrained Automatic Image Matching Using Multiresolutional Critical Point Filters,
PAMI(20), No. 9, September 1998, pp. 994-1010.
IEEE DOI 9809
Match/register the images or representations. BibRef

Hilaga, M., Shinagawa, Y., Kohmura, T., and Kunii, T.L.,
Topology Matching for Fully Automatic Similarity Estimation of 3D Shapes,
SIGGRAPH01(203-212). BibRef 0100

Habuka, K.[Kensuke], Shinagawa, Y.[Yoshihisa],
Image Interpolation Using Enhanced Multiresolution Critical-Point Filters,
IJCV(58), No. 1, June 2004, pp. 19-35.
DOI Link 0403
BibRef

Govindu, V.[Venu], Shekhar, C.[Chandra],
Alignment Using Distributions of Local Geometric Properties,
PAMI(21), No. 10, October 1999, pp. 1031-1043.
IEEE DOI Affine transform between the images. Used in mosaicing operations. BibRef 9910

Chellappa, R.[Rama], Govindu, V.[Venu], Shekhar, C.[Chandra],
Using Geometric Properties for Correspondence-less Image Alignment,
ICPR98(Vol I: 37-41).
IEEE DOI 9808
BibRef
Earlier: A2, A3, A1:
A Geometric Framework for Image Alignment,
DARPA97(615-624). BibRef

Stone, H.S.[Harold S.], Le Moigne, J.[Jacqueline], McGuire, M.S.[Morgan S.],
The Translation Sensitivity of Wavelet-Based Registration,
PAMI(21), No. 10, October 1999, pp. 1074-1081.
IEEE DOI Normalized correlation coefficients of low-pass Haar and Daubechies wavelet subbands are insensitive to translations for features larger than twice the wavelet block size. BibRef 9910

Le Moigne, J., Campbell, W.J., Cromp, R.F.,
An automated parallel image registration technique based on the correlation of wavelet features,
GeoRS(40), No. 8, August 2002, pp. 1849-1864.
IEEE Top Reference. 0210
BibRef

Sharman, R.[Raj], Tyler, J.M.[John M.], Pianykh, O.S.[Oleg S.],
A fast and accurate method to register medical images using Wavelet Modulus Maxima,
PRL(21), No. 6-7, June 2000, pp. 447-462. 0006
BibRef

Jones, M., Oakley, J.P.,
Registration of image sets using silhouette consistency,
VISP(147), No. 1, February 2000, pp. 1. 0005
BibRef

Fukasawa, Y.[Yoshio],
Method for matching input image with reference image, apparatus for the same, and storage medium storing program for implementing the method,
US_Patent6,111,984, Aug 29, 2000
WWW Link. Block based, using edges. BibRef 0008

Can, A.[Ali], Stewart, C.V.[Charles V.], Roysam, B.[Badrinath], Tanenbaum, H.L.[Howard L.],
A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina,
PAMI(24), No. 3, March 2002, pp. 347-364.
IEEE DOI 0202
Mosaic.
See also Feature-Based Technique for Joint Linear Estimation of High-Order Image-to-Mosaic Transformations: Mosaicing the Curved Human Retina, A. Registration for Mosaics. BibRef

Stewart, C.V., Tsai, C.L.[Chia-Ling], Roysam, B.,
The dual-bootstrap iterative closest point algorithm with application to retinal image registration,
MedImg(22), No. 11, November 2003, pp. 1379-1394.
IEEE Abstract. 0311
BibRef

Alhichri, H.S.[Haikel Salem], Kamel, M.S.[Mohamed S.],
Multi-resolution image registration using multi-class Hausdorff fraction,
PRL(23), No. 1-3, January 2002, pp. 279-286.
Elsevier DOI 0201
BibRef
Earlier:
Image Registration Using the Hausdorff Fraction and Virtual Circles,
ICIP01(II: 367-370).
IEEE DOI 0108
BibRef

Alhichri, H.S.[Haikel Salem], Kamel, M.S.[Mohamed S.],
Virtual circles: a new set of features for fast image registration,
PRL(24), No. 9-10, June 2003, pp. 1181-1190.
Elsevier DOI 0304
BibRef
Earlier:
Image registration using collinear virtual circles,
ICIP03(II: 339-342).
IEEE DOI 0312
BibRef
Earlier:
Image registration using virtual circles and edge direction,
ICPR02(II: 969-972).
IEEE DOI 0211
BibRef

Alhichri, H.S.[Haikel S.], Kamel, M.S.[Mohamed S.],
Automatic Image Registration Using Virtual Circles,
IJIG(4), No. 2, April 2004, pp. 281-299. 0404
BibRef

Torr, P.H.S.[Philip H. S.], Davidson, C.[Colin],
Feature correspondence between images using an image pyramid,
US_Patent6,741,757, May 25, 2004
WWW Link. BibRef 0405

Fischer, B.[Bernd], Modersitzki, J.[Jan],
Curvature Based Image Registration,
JMIV(18), No. 1, January 2003, pp. 81-85.
DOI Link 0301
BibRef

Modersitzki, J.[Jan],
FLIRT with Rigidity: Image Registration with a Local Non-rigidity Penalty,
IJCV(76), No. 2, February 2008, pp. 153-163.
Springer DOI 0801
BibRef

Suhr, S.[Sebastian], Tenbrinck, D.[Daniel], Burger, M.[Martin], Modersitzki, J.[Jan],
Registration of Noisy Images via Maximum A-Posteriori Estimation,
WBIR14(231-240).
Springer DOI 1407
BibRef

Brehmer, K.[Kai], Aggrawal, H.O.[Hari Om], Heldmann, S.[Stefan], Modersitzki, J.[Jan],
Variational Registration of Multiple Images with the SVD Based SqN Distance Measure,
SSVM19(251-262).
Springer DOI 1909
BibRef

Bartoli, A.E.[Adrien E.], Sturm, P.F.[Peter F.],
The 3D Line Motion Matrix and Alignment of Line Reconstructions,
IJCV(57), No. 3, May-June 2004, pp. 159-178.
DOI Link 0402
BibRef
Earlier: CVPR01(I:287-292).
IEEE DOI 0110
Line based alignment. BibRef

Xia, M.H.[Ming-Hui], Liu, B.[Bede],
Image Registration by 'Super-Curves',
IP(13), No. 5, May 2004, pp. 720-732.
IEEE DOI 0404
BibRef

Xia, M.H.[Ming-Hui], Liu, B.[Bede],
Aligning Curves Under Projective Transform and its Application to Image Registration,
ICIP06(349-352).
IEEE DOI 0610
BibRef

Li, W., Leung, H.,
A Maximum Likelihood Approach for Image Registration Using Control Point And Intensity,
IP(13), No. 8, August 2004, pp. 1115-1127.
IEEE DOI 0409
BibRef

Chen, S., Guo, Q., Leung, H., Bosse, É.,
A Maximum Likelihood Approach to Joint Image Registration and Fusion,
IP(20), No. 5, May 2011, pp. 1363-1372.
IEEE DOI 1104
BibRef

Odone, F., Barla, A., Verri, A.,
Building Kernels from Binary Strings for Image Matching,
IP(14), No. 2, February 2005, pp. 169-180.
IEEE DOI 0501
BibRef

Own, H.S.[Hala S.],
Image Registration Algorithm Based On Complex Wavelet Transform,
GVIP(05), No. V2, January 2005, pp. 9-15
HTML Version. BibRef 0501

Jaw, J.J.[Jen-Jer], Wu, Y.S.[Yi-Shen],
Control Patches for Automatic Single Photo Orientation,
PhEngRS(72), No. 2, February 2006, pp. 151-158.
WWW Link. An automatic matching approach for single photo orientation implemented using matching control patches. 0602
BibRef

Chuang, T.Y.[Tzu-Yi], Jaw, J.J.[Jen-Jer],
Multi-Feature Registration of Point Clouds,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef
Earlier: A2, A1:
On the effectiveness of feature-based lidar point cloud registration,
PCVIA10(B:60).
PDF File. 1009
BibRef
Earlier: A2, A1:
Feature-Based Registration of Ground-Based LIDAR Point Clouds,
ISPRS08(B3b: 303 ff).
PDF File. 0807
BibRef

Jaw, J.J.[Jen-Jer], Perng, N.H.[Nei-Hao],
Line Feature Correspondence between Object Space and Image Space,
PhEngRS(74), No. 12, December 2008, pp. 1521-1528.
WWW Link. 0804
An effective working scheme for line feature correspondence between object space and image space. BibRef

Lazaridis, G., Petrou, M.[Maria],
Image Registration Using the Walsh Transform,
IP(15), No. 8, August 2006, pp. 2343-2357.
IEEE DOI 0606
BibRef

Simonson, K.M.[Katherine M.], Drescher, Jr., S.M.[Steven M.], Tanner, F.R.[Franklin R.],
A Statistics-Based Approach to Binary Image Registration with Uncertainty Analysis,
PAMI(29), No. 1, January 2007, pp. 112-125.
IEEE DOI 0701
BibRef

Simonson, K.M.[Katherine M.], Tanner, F.R.[Franklin R.], Drescher, Jr., S.M.[Steven M.],
High-Confidence Registration of Binary Imagery,
TRSAND2005-3118, Sandia National Laboratories, 2005. BibRef 0500

Drescher, Jr., S.M.[Steven M.],
Feature Extraction for Improved Effcacy and Precision of a Robust and Automatic Registration Method,
M.S.Thesis, Univ. New Mexico, 2005. BibRef 0500

Cui, M.[Ming], Wonka, P.[Peter], Razdan, A.[Anshuman], Hu, J.X.[Jiu-Xiang],
A new image registration scheme based on curvature scale space curve matching,
VC(23), No. 7, July 2007, pp. 607-618.
Springer DOI 0707
BibRef

Cui, M.[Ming], Femiani, J., Hu, J.X.[Jiu-Xiang], Wonka, P.[Peter], Razdan, A.[Anshuman],
Curve matching for open 2D curves,
PRL(30), No. 1, 1 January 2009, pp. 1-10.
Elsevier DOI 0811
Shape matching; Curvature; Cross correlation BibRef

Han, J., Berkels, B., Droske, M., Hornegger, J., Rumpf, M., Schaller, C., Scorzin, J., Urbach, H.,
Mumford-Shah Model for One-to-One Edge Matching,
IP(16), No. 11, November 2007, pp. 2720-2732.
IEEE DOI 0709
BibRef

Droske, M.[Marc], Rumpf, M.[Martin],
Multiscale Joint Segmentation and Registration of Image Morphology,
PAMI(29), No. 12, December 2007, pp. 2181-2194.
IEEE DOI 0711
Combines the detection of corresponding edges, an edge preserving denoising and the morphological registration via a non-rigid deformation for a pair of images with structural correspondence. BibRef

Droske, M., Rumpf, M., Schaller, C.,
Non-rigid morphological image registration and its practical issues,
ICIP03(II: 699-702).
IEEE DOI 0312
BibRef

Kim, Y.S.[Yong Sun], Lee, J.H.[Jae Hak], Ra, J.B.[Jong Beom],
Multi-sensor image registration based on intensity and edge orientation information,
PR(41), No. 11, November 2008, pp. 3356-3365.
Elsevier DOI 0808
Multi-sensor image registration; Mutual information; Entropy-based objective function; 3-D joint histogram; Edge coincidence BibRef

Arévalo, V.[Vicente], González, J.[Javier],
Improving Piecewise Linear Registration of High-Resolution Satellite Images Through Mesh Optimization,
GeoRS(46), No. 11, November 2008, pp. 3792-3803.
IEEE DOI 0812
BibRef
Earlier:
Improving Piecewise-Linear Registration Through Mesh Optimization,
IbPRIA07(II: 122-129).
Springer DOI 0706
Register triangular patches. BibRef

González, J.[Javier], Arévalo, V.[Vicente],
Mesh Topological Optimization for Improving Piecewise-Linear Image Registration,
JMIV(37), No. 2, June 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Blanco, J.L.[Jose-Luis], Gonzalez, J.[Javier], Fernandez-Madrigal, J.A.[Juan-Antonio],
A New Method for Robust and Efficient Occupancy Grid-Map Matching,
IbPRIA07(II: 194-201).
Springer DOI 0706
In the form of registration. BibRef

Wang, H., Yan, S., Liu, J., Tang, X., Huang, T.S.[Thomas S.],
Correspondence Propagation with Weak Priors,
IP(18), No. 1, January 2009, pp. 140-150.
IEEE DOI 0812
For registration, start with the good matches and go from there. BibRef

Olsson, C.[Carl], Kahl, F.[Fredrik], Oskarsson, M.[Magnus],
Branch-and-Bound Methods for Euclidean Registration Problems,
PAMI(31), No. 5, May 2009, pp. 783-794.
IEEE DOI 0903
BibRef
Earlier:
The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes,
CVPR06(I: 1206-1213).
IEEE DOI 0606
Golbally optimal pose estimation. Uses point-to-point, point-to-line, and point-to-plane. Avoid local minima of ICP. BibRef

Enqvist, O.[Olof], Jiang, F.Y.[Fang-Yuan], Kahl, F.[Fredrik],
A brute-force algorithm for reconstructing a scene from two projections,
CVPR11(2961-2968).
IEEE DOI 1106
BibRef

Enqvist, O.[Olof], Kahl, F.[Fredrik],
Two View Geometry from Uncertain Correspondences,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Olsson, C.[Carl], Enqvist, O.[Olof], Kahl, F.[Fredrik],
A polynomial-time bound for matching and registration with outliers,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Enqvist, O.[Olof], Kahl, F.[Fredrik],
Robust Optimal Pose Estimation,
ECCV08(I: 141-153).
Springer DOI 0810
BibRef

Morel, J.M.[Jean-Michel], Yu, G.S.[Guo-Shen],
ASIFT: A New Framework For Fully Affine Invariant Image Comparison,
SIIMS(2), No. 2, 2009, pp. 438-469.
DOI Link 0905
image matching; descriptors; affine invariance; scale invariance; affine normalization; scale-invariant feature transform (SIFT) BibRef

Yu, G.S.[Guo-Shen], Morel, J.M.[Jean-Michel],
ASIFT: An Algorithm for Fully Affine Invariant Comparison,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, SIFT. BibRef

Bunting, P.[Peter], Labrosse, F.[Frederic], Lucas, R.[Richard],
A multi-resolution area-based technique for automatic multi-modal image registration,
IVC(28), No. 8, August 2010, pp. 1203-1219.
Elsevier DOI 1006
Image registration; Remote sensing; Multi-modal; Correlation coefficient; Network BibRef

Zhang, W.[Wei], Wu, Q.M.J.[Q.M. Jonathan], Wang, G.H.[Guang-Hui], You, X.G.[Xin-Ge], Wang, Y.F.[Yong-Fang],
Image matching using enclosed region detector,
JVCIR(21), No. 4, May 2010, pp. 271-282.
Elsevier DOI 1006
Enclosed region; Affine-invariance; Image matching; Scale invariance; Stereo vision; Feature detection; External enclosing region; Internal enclosed region BibRef

Miao, Q.[Quan], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang],
Kernel Based Image Registration Incorporating with Both Feature and Intensity Matching,
IEICE(E93-D), No. 5, May 2010, pp. 1317-1320.
WWW Link. 1006
BibRef

Goncalves, H., Goncalves, J.A., Corte-Real, L.,
HAIRIS: A Method for Automatic Image Registration Through Histogram-Based Image Segmentation,
IP(20), No. 3, March 2011, pp. 776-789.
IEEE DOI 1103
BibRef

Goncalves, H., Corte-Real, L., Goncalves, J.A.,
Automatic Image Registration Through Image Segmentation and SIFT,
GeoRS(49), No. 7, July 2011, pp. 2589-2600.
IEEE DOI 1107
BibRef

Barnes, C.[Connelly], Goldman, D.B.[Dan B.], Shechtman, E.[Eli], Finkelstein, A.[Adam],
The PatchMatch Randomized Matching Algorithm for Image Manipulation,
CACM(54), No. 11, November 2011, pp. 103-110.
DOI Link 1112
BibRef
Earlier: A1, A3, A2, A4:
The Generalized PatchMatch Correspondence Algorithm,
ECCV10(III: 29-43).
Springer DOI 1009
This paper presents a new randomized algorithm for quickly finding approximate nearest neighbor matches between image patches. Our algorithm offers substantial performance improvements over the previous state of the art. BibRef

Wu, B.[Bo], Zhang, Y.S.[Yun-Sheng], Zhu, Q.[Qing],
Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations,
PandRS(68), No. 1, March 2012, pp. 40-55.
Elsevier DOI 1204
Image matching; Point matching; Edge matching; Triangle constraint; Self-adaptive propagation BibRef

Lindeberg, T.[Tony],
Scale Selection Properties of Generalized Scale-Space Interest Point Detectors,
JMIV(46), No. 2, June 2013, pp. 177-210.
WWW Link. 1306
BibRef

Lindeberg, T.[Tony],
Image Matching Using Generalized Scale-Space Interest Points,
JMIV(52), No. 1, May 2015, pp. 3-36.
WWW Link. 1505
BibRef
Earlier: SSVM13(355-367).
Springer DOI 1305
BibRef

Wang, K.[Ke], Shi, T.[Tielin], Liao, G.[Guanglan], Xia, Q.[Qi],
Image registration using a point-line duality based line matching method,
JVCIR(24), No. 5, July 2013, pp. 615-626.
Elsevier DOI 1306
Line matching; Point matching; Point-line duality; Image registration; Least squares; Point merging; Rigid body transformation; Similarity measure BibRef

Xu, W.[Wei], Chen, W.[Wang], Zhang, J.G.[Jian-Guo], Zhang, M.J.[Mao-Jun],
Angle consistency for registration between catadioptric omni-images and orthorectified aerial images,
IET-IPR(7), No. 4, 2013, pp. 343-354.
DOI Link 1307
omni-image and aerial image registration. Start from lines. BibRef

Alam, M.M.[Md. Mushfiqul], Howlader, T.[Tamanna], Rahman, S.M.M.[S.M. Mahbubur],
Entropy-based image registration method using the curvelet transform,
SIViP(8), No. 3, March 2014, pp. 491-505.
WWW Link. 1403
BibRef

Zhou, W.[Wen], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Z.[Zhong],
SLD: A Novel Robust Descriptor for Image Matching,
SPLetters(21), No. 3, March 2014, pp. 339-342.
IEEE DOI 1403
image matching BibRef

Lui, L., Lam, K., Yau, S., Gu, X.,
Teichmuller Mapping (T-Map) and Its Applications to Landmark Matching Registration,
SIIMS(7), No. 1, 2014, pp. 391-426.
DOI Link 1404
BibRef

Tommaselli, A.M.G.[Antonio M. G.], Berveglieri, A.[Adilson],
Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction,
RS(6), No. 4, 2014, pp. 3020-3040.
DOI Link 1405
BibRef
Earlier: A2, A1:
Multi-Scale Matching for the Automatic Location of Control Points in Large Scale Aerial Images Using Terrestrial Scenes,
EuroCOW14(27-31).
DOI Link 1404
BibRef

Berveglieri, A.[Adilson], Tommaselli, A.M.G.[Antonio M. G.],
Exterior Orientation of Hyperspectral Frame Images Collected with UAV for Forest Applications,
EuroCOW16(xx-yy).
DOI Link 1605
BibRef

Nacereddine, N.[Nafaa], Tabbone, S.[Salvatore], Ziou, D.[Djemel],
Similarity transformation parameters recovery based on Radon transform. Application in image registration and object recognition,
PR(48), No. 7, 2015, pp. 2227-2240.
Elsevier DOI 1504
Radon transform BibRef

Huh, Y.[Yong],
Local Edge Matching for Seamless Adjacent Spatial Datasets with Sequence Alignment,
IJGI(4), No. 4, 2015, pp. 2061.
DOI Link 1511
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Zhao, C.Y.[Chen-Yang], Goshtasby, A.A.[A. Ardeshir],
Registration of multitemporal aerial optical images using line features,
PandRS(117), No. 1, 2016, pp. 149-160.
Elsevier DOI 1605
Image registration BibRef

Shi, X.L.[Xiao-Long], Jiang, J.[Jie],
Automatic Registration Method for Optical Remote Sensing Images with Large Background Variations Using Line Segments,
RS(8), No. 5, 2016, pp. 426.
DOI Link 1606
BibRef

Lyu, C.J.[Cheng-Jin], Jiang, J.[Jie],
Remote Sensing Image Registration with Line Segments and Their Intersections,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Wu, S.Q.[Shi-Qian], Yang, L.X.[Ling-Xian], Xu, W.M.[Wang-Ming], Zheng, J.H.[Jing-Hong], Li, Z.G.[Zheng-Guo], Fang, Z.J.[Zhi-Jun],
A mutual local-ternary-pattern based method for aligning differently exposed images,
CVIU(152), No. 1, 2016, pp. 67-78.
Elsevier DOI 1609
Image registration BibRef

Li, Y.[Yong], Stevenson, R.L.[Robert L.],
Multimodal Image Registration With Line Segments by Selective Search,
Cyber(47), No. 5, May 2017, pp. 1285-1298.
IEEE DOI 1704
BibRef
Earlier:
A Similarity Metric for Multimodal Images Based on Modified Hausdorff Distance,
AVSS12(143-148).
IEEE DOI 1211
Computational efficiency BibRef

Li, Y.[Yong], Stevenson, R.L.[Robert L.], Gai, J.D.[Jia-Ding],
Corner-Guided Image Registration by using Edges,
ICIP07(V: 361-364).
IEEE DOI 0709
BibRef

Yuan, X.X.[Xiu-Xiao], Chen, S.Y.[Shi-Yu], Yuan, W.[Wei], Cai, Y.[Yang],
Poor textural image tie point matching via graph theory,
PandRS(129), No. 1, 2017, pp. 21-31.
Elsevier DOI 1706
BibRef
Earlier: A2, A1, A3, A4:
Poor Textural Image Matching Based On Graph Theory,
ISPRS16(B3: 741-747).
DOI Link 1610
Low contrast, repetitive patterns, few textures. Edge weight, graph matching. Tie point matching. BibRef

Yuan, X.L.[Xiu-Liu], Yuan, X.X.[Xiu-Xiao], Chen, J.[Jun], Wang, X.P.[Xun-Ping],
Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep Learning Method,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, H.[Han], Yoon, S.M.[Sang Min], Han, D.K.[David K.], Ko, H.S.[Han-Seok],
A feature descriptor based on the local patch clustering distribution for illumination-robust image matching,
PRL(94), No. 1, 2017, pp. 46-54.
Elsevier DOI 1708
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IEEE DOI 1712
image matching, learning (artificial intelligence), neural nets, stereo image processing, CNN module, Middlebury benchmark, stereo matching BibRef

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Online Robust Image Alignment via Subspace Learning from Gradient Orientations,
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feature extraction, gradient methods, image registration, image representation, iterative methods, sparse. face recognition, learning (artificial intelligence), Tensile stress BibRef

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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Image Registration, Point Featres, Key Points, Local Feature .