12.1.9 3-D Points with 3-D Structures

Chapter Contents (Back)
Three Dimensional Points. Point Matching. Matching, Points.

Chen, H.H.[Homer H.], Huang, T.S.[Thomas S.],
Maximal Matching of 3-D Points for Multiple-Object Motion Estimation,
PR(21), No. 2, 1988, pp. 75-90.
WWW Link. BibRef 8800

Tsai, R.Y.[Roger Y.],
Multiframe Image Point Matching and 3-D Surface Reconstruction,
PAMI(5), No. 2, March 1983, pp. 159-173. Multiple image correlation for matching. It is all theory and simulation, with no real results. Therefore, it is hard to see how it would really work. BibRef 8303

Cheng, J.C., Don, H.S.,
A Graph Matching Approach to 3-D Point Correspondences,
PRAI(5), 1991, pp. 399-412. BibRef 9100
Earlier: IJCAI91(399-412). BibRef

Tsang, P.W.M.[Peter W.M.], Yuen, P.C., Lam, F.K.,
Recognition of Occluded Objects,
PR(25), No. 10, October 1992, pp. 1107-1117.
WWW Link. BibRef 9210

Tsang, P.W.M., Yuen, P.C.,
Recognition of Partly Occluded Objects,
SMC(23), 1993, pp. 228-236. BibRef 9300

Tsang, P.W.M., Yuen, P.C., Lam, F.K.,
Classification of Partially Occluded Objects Using 3-Point Matching and Distance Transformation,
PR(27), No. 1, January 1994, pp. 27-40.
WWW Link. BibRef 9401

Yuen, P.C., Tsang, P.W.M.,
Local Feature Detector Using 3-Point Matching and Dynamic-Programming,
IVC(13), No. 3, April 1995, pp. 179-187.
WWW Link. BibRef 9504

Boxer, L.,
Point Set Pattern-Matching in 3-D,
PRL(17), No. 12, October 25 1996, pp. 1293-1297. 9612
BibRef

Lavine, D.[David], Lambird, B.A.[Barbara A.], Kanal, L.N.[Laveen N.],
Recognition of Spatial Point Patterns,
PR(16), No. 3, 1983, pp. 289-295.
WWW Link. BibRef 8300
Earlier: PRIP81(49-53). BibRef

Zhuang, H.Q., Sudhakar, R.,
Simultaneous Rotation and Translation Fitting of 2 3-D Point Sets,
SMC-B(27), No. 1, February 1997, pp. 127-131.
IEEE Top Reference. 9702
BibRef

Chua, C.S., Jarvis, R.,
Point Signatures: A New Representation for 3D Object Recognition,
IJCV(25), No. 1, October 1997, pp. 63-85.
DOI Link 9710
BibRef

Pennec, X.[Xavier], Thirion, J.P.[Jean-Philippe],
A Framework for Uncertainty and Validation of 3-D Registration Methods Based On Points And Frames,
IJCV(25), No. 3, December 1997, pp. 203-229.
DOI Link 9712
BibRef
Earlier:
Validation of 3D Registration Methods Based on Points and Frames,
ICCV95(557-562).
IEEE DOI Register CAT data and difference. BibRef

Pennec, X.[Xavier],
Toward a Generic Framework for Recognition Based on Uncertain Geometric Features,
Videre(1), No. 2, Winter 1998, pp. xx-yy. Describe algorithms in terms of features (points and lines).
HTML Version.
PDF File. BibRef 9800

Alter, T.D., Jacobs, D.W.,
Uncertainty Propagation in Model-Based Recognition,
IJCV(27), No. 2, March 1998, pp. 127-159.
DOI Link 9805
BibRef
And: MIT AI Memo-1476, January 1995.
WWW Link. Matching corners of the object. BibRef

Alter, T.D., Jacobs, D.W.,
Error Propagation in Full 3-D and 2-D Object Recognition,
CVPR94(892-898).
IEEE DOI BibRef 9400
And:
Error Propagation in 3D-from-2D Recognition: Scaled-Orthographic and Perspective Projections,
ARPA94(II:973-980). BibRef

Boxer, L.[Laurence],
Faster point set pattern matching in 3-D,
PRL(19), No. 13, November 1998, pp. 1235-1240. BibRef 9811

Goodrich, M.T., Mitchell, J.S.B., Orletsky, M.W.,
Approximate Geometric Pattern Matching Under Rigid Motions,
PAMI(21), No. 4, April 1999, pp. 371-379.
IEEE DOI Match points in 2 and 3-D for rigid transformations. BibRef 9904

Eppstein, D.[David], Goodrich, M.T.[Michael T.], Kim, E.[Ethan], Tamstorf, R.[Rasmus],
Approximate topological matching of quad meshes,
VC(25), No. 8, August 2009, pp. xx-yy.
Springer DOI 0907
BibRef

Eppstein, D.[David], Goodrich, M.T.[Michael T.], Mamano, N.[Nil],
Algorithms for Stable Matching and Clustering in a Grid,
IWCIA17(117-131).
Springer DOI 1706
BibRef

Trucco, E.[Emanuele], Fusiello, A.[Andrea], Roberto, V.[Vito],
Robust motion and correspondence of noisy 3-D point sets with missing data,
PRL(20), No. 8, August 1999, pp. 889-898. BibRef 9908

Chui, H.[Haili], Rangarajan, A.[Anand],
A new point matching algorithm for non-rigid registration,
CVIU(89), No. 2-3, February-March 2003, pp. 114-141.
WWW Link. 0304
BibRef
Earlier:
A New Algorithm for Non-Rigid Point Matching,
CVPR00(II: 44-51).
IEEE DOI 0005
Landmark based matching. See also New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. BibRef

Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan],
On affine registration of planar point sets using complex numbers,
CVIU(115), No. 1, January 2011, pp. 50-58.
Elsevier DOI 1011
Affine registration; Rigid registration; Point matching; Complex numbers BibRef

Shahed Nejhum, S.M., Chi, Y.T.[Yu-Tseh], Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan],
Higher-Dimensional Affine Registration and Vision Applications,
PAMI(33), No. 7, July 2011, pp. 1324-1338.
IEEE DOI 1106
BibRef
Earlier: A2, A1, A3, A4: ECCV08(IV: 256-269).
Springer DOI 0810
See also Online visual tracking with histograms and articulating blocks. BibRef

Ho, J.[Jeffrey], Peter, A.M.[Adrian M.], Rangarajan, A.[Anand], Yang, M.H.[Ming-Hsuan],
An algebraic approach to affine registration of point sets,
ICCV09(1335-1340).
IEEE DOI 0909
See also Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation. BibRef

Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan], Rangarajan, A.[Anand], Vemuri, B.C.[Baba C.],
A New Affine Registration Algorithm for Matching 2D Point Sets,
WACV07(25-25).
IEEE DOI 0702
BibRef

de Trazegnies, C., Urdiales García, C.[Cristina], Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
A Hidden Markov Model object recognition technique for incomplete and distorted corner sequences,
IVC(21), No. 9, September 2003, pp. 879-889.
WWW Link. 0308
See also 3D object recognition based on curvature information of planar views. See also Planar shape indexing and retrieval based on Hidden Markov Models. BibRef

Park, S.Y.[Soon-Yong], Subbarao, M.[Murali],
An accurate and fast point-to-plane registration technique,
PRL(24), No. 16, December 2003, pp. 2967-2976.
WWW Link. 0310
In order to find the intersection point fast and accurately, forward-project the source point to the destination surface and reproject the projection point to the normal vector of the source point. BibRef

Park, S.Y.[Soon-Yong], Subbarao, M.,
A fast point-to-tangent plane technique for multi-view registration,
3DIM03(276-283).
IEEE DOI 0311
BibRef

Roy, S.[Sebastien],
Method for computing the location and orientation of an object in three dimensional space,
US_Patent6,580,821, Jun 17, 2003
WWW Link. Mark points, match to 3-D model. BibRef 0306

Moisan, L.[Lionel], Stival, B.[Bérenger],
A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix,
IJCV(57), No. 3, May-June 2004, pp. 201-218.
DOI Link 0402
How to compare accurate matches with few points and fuzzy matches with many points when 8 matches are desired for the computation. BibRef

Moisan, L., Stival, B.,
Automatic detection of rigid point matches,
Motion02(235-240).
IEEE DOI 0303
BibRef

Rabin, J.[Julien], Delon, J.[Julie], Gousseau, Y.[Yann], Moisan, L.[Lionel],
MAC-RANSAC: a robust algorithm for the recognition of multiple objects,
3DPVT10(xx-yy).
WWW Link. 1005
See also Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix, A. BibRef

Zhong, Z.G.[Zhi-Guang], Yi, J.Q.[Jian-Qiang], Zhao, D.B.[Dong-Bin], Hong, Y.P.[Yi-Ping],
Effective pose estimation from point pairs,
IVC(23), No. 7, 1 July 2005, pp. 651-660.
WWW Link. 0506
BibRef

Calafiore, G.C.,
Approximation of N-Dimensional Data Using Spherical and Ellipsoidal Primitives,
SMC-A(32), No. 2, March 2002, pp. 269-278. BibRef 0203

Calafiore, G.C.,
On 3-D Point Set Matching With MAE and SAE Cost Criteria,
SMC-A(38), No. 2, March 2008, pp. 443-450.
IEEE DOI 0803
maximum absolute error, sum of absolute errors BibRef

Calafiore, G.C., Carlone, L., Wei, M.,
A Distributed Technique for Localization of Agent Formations From Relative Range Measurements,
SMC-A(42), No. 5, September 2012, pp. 1065-1076.
IEEE DOI 1208
BibRef

Utriainen, T.[Tapani],
Least squares rigid body fitting of point-sets with unknown correspondences,
Ph.D.Thesis, Chalmers University of Technology, 2010. ISBN 978-91-7385-410-8
PDF File. Source code and pre-compiled libraries for the algorithms:
WWW Link. BibRef 1000

Ying, X.H.[Xiang-Hua], Yang, L.[Li], Zha, H.B.[Hong-Bin],
A Fast Algorithm for Multidimensional Ellipsoid-Specific Fitting by Minimizing a New Defined Vector Norm of Residuals Using Semidefinite Programming,
PAMI(34), No. 9, September 2012, pp. 1856-1863.
IEEE DOI 1208
See also Approximation of N-Dimensional Data Using Spherical and Ellipsoidal Primitives. BibRef

Piccinini, P.[Paolo], Prati, A.[Andrea], Cucchiara, R.[Rita],
Real-time object detection and localization with SIFT-based clustering,
IVC(30), No. 8, August 2012, pp. 573-587.
Elsevier DOI 1209
BibRef
Earlier:
Multiple Object Detection for Pick-and-Place Applications,
MVA09(362-).
PDF File. 0905
BibRef
And:
A fast multi-model approach for object duplicate extraction,
WACV09(1-6).
IEEE DOI 0912
Industrial automation, occlusions, SIFT keypoint extraction. RANSAC matching with SIFT. Match models to multiple objects. Pick-and-place applications; Machine vision for industrial applications; SIFT BibRef

Bellavia, F.[Fabio], Tegolo, D.[Domenico], Valenti, C.[Cesare],
Keypoint descriptor matching with context-based orientation estimation,
IVC(32), No. 9, 2014, pp. 559-567.
Elsevier DOI 1408
BibRef
And: A1, A3, Only:
Approximated Overlap Error for the Evaluation of Feature Descriptors on 3D Scenes,
CIAP13(I:270-279).
Springer DOI 1311
BibRef
Earlier: A1, A2, Only:
New Error Measures to Evaluate Features on Three-Dimensional Scenes,
CIAP11(I: 524-533).
Springer DOI 1109
Image descriptors BibRef

Gooya, A.[Ali], Davatzikos, C.[Christos], Frangi, A.F.[Alejandro F.],
A Bayesian Approach to Sparse Model Selection in Statistical Shape Models,
SIIMS(8), No. 2, 2015, pp. 858-887.
DOI Link 1507
Pointset registration. Variable size sets. BibRef

Wang, G.[Gang], Wang, Z.[Zhicheng], Chen, Y.[Yufei], Zhao, W.D.[Wei-Dong],
A robust non-rigid point set registration method based on asymmetric gaussian representation,
CVIU(141), No. 1, 2015, pp. 67-80.
Elsevier DOI 1512
Point matching BibRef

Nguyen, T.M., Wu, Q.M.J.,
Multiple Kernel Point Set Registration,
MedImg(35), No. 6, June 2016, pp. 1381-1394.
IEEE DOI 1606
Biomedical imaging BibRef

Pauwels, K.[Karl], Rubio, L.[Leonardo], Ros, E.[Eduardo],
Real-Time Pose Detection and Tracking of Hundreds of Objects,
CirSysVideo(26), No. 12, December 2016, pp. 2200-2214.
IEEE DOI 1612
BibRef
Earlier:
Real-Time Model-Based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints,
CVPR14(3994-4001)
IEEE DOI 1409
Adaptive optics. SIFT BibRef

Pauwels, K.[Karl], Rubio, L.[Leonardo], Diaz, J.[Javier], Ros, E.[Eduardo],
Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues,
CVPR13(2347-2354)
IEEE DOI 1309
6DOF pose estimation BibRef


Zeng, A.[Andy], Song, S.R.[Shu-Ran], Nießner, M.[Matthias], Fisher, M.[Matthew], Xiao, J.X.[Jian-Xiong], Funkhouser, T.[Thomas],
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions,
CVPR17(199-208)
IEEE DOI 1711
Match local geometric features in depth images. Geometry, Image reconstruction, Solid modeling, Surface reconstruction, Training BibRef

Liang, S.C., Lin, H.Y., Chang, C.C.,
Model-based 3D pose estimation for pick-and-place application,
MVA17(412-415)
DOI Link 1708
Cameras, Computational modeling, Genetic algorithms, Iterative closest point algorithm, Pose estimation, Solid modeling, Three-dimensional, displays BibRef

Yan, J.C.[Jun-Chi], Ren, Z.[Zhe], Zha, H.Y.[Hong-Yuan], Chu, S.[Stephen],
A constrained clustering based approach for matching a collection of feature sets,
ICPR16(3832-3837)
IEEE DOI 1705
Color, Computational modeling, Computer vision, Impedance matching, Pattern recognition, Programming, Silicon BibRef

Chen, Z.[Zihe], Chen, D.Y.[Dan-Yang], Ding, H., Huang, Z.Y.[Zi-Yun], Li, Z.S.[Zhe-Shuo], Sehgal, N., Fritz, A., Berezney, R., Xu, J.,
Finding rigid sub-structure patterns from 3D point-sets,
ICPR16(1725-1730)
IEEE DOI 1705
Biological cells, Extraterrestrial measurements, Periodic structures, Prototypes, Three-dimensional, displays BibRef

Akizuki, S.[Shuichi], Hashimoto, M.[Manabu],
DPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions,
ISVC15(I: 878-887).
Springer DOI 1601
3D Keypoint matching BibRef

Collins, T.[Toby], Bartoli, A.E.[Adrien E.],
Using Isometry to Classify Correct/Incorrect 3D-2D Correspondences,
ECCV14(IV: 325-340).
Springer DOI 1408
BibRef

Bulla, C., Hosten, P.,
Detection of false feature correspondences in feature based object detection systems,
IVCNZ13(25-30)
IEEE DOI 1402
feature extraction BibRef

Rutanen, K.[Kalle], Gómez-Herrero, G.[Germán], Eriksson, S.L.[Sirkka-Liisa], Egiazarian, K.[Karen],
Least-Squares Transformations between Point-Sets,
SCIA13(501-511).
Springer DOI 1311
BibRef

Buchholz, D.[Dirk], Kubus, D.[Daniel], Winkelbach, S.[Simon], Wahl, F.M.[Friedrich M.],
3D object localization using single camera images,
ICPR12(821-824).
WWW Link. 1302
6D pose from CAD models BibRef

Lui, V.[Vincent], Gamage, D.[Dinesh], Drummond, T.W.[Tom W.],
Fast Inverse Compositional Image Alignment with Missing Data and Re-weighting,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Gamage, D.[Dinesh], Drummond, T.W.[Tom W.],
Corner Matching Refinement for Monocular Pose Estimation,
BMVC12(38).
DOI Link 1301
BibRef

Wang, J., Song, W., Bu, F.,
A Multi-View Image Matching Method for Feature Points Based on the Moving Z-Plane Constraint,
ISPRS12(XXXIX-B3:355-360).
DOI Link 1209
BibRef

Flitton, G.[Gregory], Breckon, T.P.[Toby P.], Megherbi Bouallagu, N.[Najla],
A 3D extension to cortex like mechanisms for 3D object class recognition,
CVPR12(3634-3641).
IEEE DOI 1208
BibRef
Earlier:
Object Recognition Using 3D SIFT in Complex CT Volumes,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Yang, Y.[Yang], Song, Y.X.[Yi-Xu], Zhai, F.W.[Fang-Wen], Fan, Z.Z.[Zhao-Zhou], Meng, Y.[Yue], Wang, J.X.[Jia-Xin],
A High-Precision Localization Algorithm by Improved SIFT Key-Points,
CISP09(1-6).
IEEE DOI 0910
BibRef

Khoualed, S.K.[Samir K.], Chateau, T.[Thierry], Castellani, U.[Umberto],
Semantic-Context-Based Augmented Descriptor for Image Feature Matching,
ACCV12(II:353-367).
Springer DOI 1304
BibRef

Khoualed, S.K.[Samir K.], Castellani, U.[Umberto], Bartoli, A.E.[Adrien E.],
Semantic Shape Context for the Registration of Multiple Partial 3d Views,
BMVC09(xx-yy).
PDF File. 0909
Rigid transforms for 3D points. BibRef

Guerra-Filho, G.[Gutemberg],
Correspondence-free fundamental matrix for object recognition,
ICIP12(1021-1024).
IEEE DOI 1302
BibRef
Earlier:
Disambiguating the recognition of 3D objects,
CVPR09(2278-2285).
IEEE DOI 0906
detection, segmentation, recognition, and pose. Infer primitives (using Hough) used to describe objects. Pose from point matching. BibRef

López-García, F.[Fernando], García-Díaz, A.[Anton], Fdez-Vidal, X.R.[Xose Ramon], Pardo, X.M.[Xose Manuel], Dosil, R.[Raquel], Luna, D.[David],
Improving Scene Recognition through Visual Attention,
IbPRIA09(16-23).
Springer DOI 0906
Sasliency based on color and local energy. Reduce prototype database size for matching. BibRef

Fidjeland, A.[Andreas], Shanahan, M.[Murray], Bouganis, A.[Alexandros],
Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace,
CogVis08(135-148).
Springer DOI 0805
BibRef

Bouganis, A.[Alexandros], Shanahan, M.[Murray],
Flexible object recognition in cluttered scenes using relative point distribution models,
ICPR08(1-5).
IEEE DOI 0812
Point matching of edge features with clutter BibRef

Steinbis, J.M.[John M.], Vincent, T.L.[Tyrone L.], Hoff, W.A.[William A.],
New extensions of the 3-simplex for exterior orientation,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Teo, C.L.[Ching Lik], Li, S.M.[Shi-Miao], Cheong, L.F.[Loong-Fah], Sun, J.[Ju],
3D ordinal constraint in spatial configuration for robust scene recognition,
ICPR08(1-5).
IEEE DOI 0812
SURF and Geometry See also Speeded-Up Robust Features (SURF). BibRef

Gu, S.X.[Song-Xiang], Lindsay, C.[Clifford], Gennert, M.A.[Michael A.], King, M.A.[Michael A.],
A Quick 3D-to-2D Points Matching Based on the Perspective Projection,
ISVC08(I: 634-645).
Springer DOI 0812
BibRef

Tomono, M.[Masahiro],
3D Object Mapping by Integrating Stereo SLAM and Object Segmentation Using Edge Points,
ISVC09(I: 690-699).
Springer DOI 0911
BibRef
Earlier:
3D Object Modeling and Segmentation Based on Edge-Point Matching with Local Descriptors,
ISVC08(I: 55-64).
Springer DOI 0812
BibRef

Feng, Q.Q.[Qi-Qiang], Li, G.Y.[Guang-Yun], Huang, G.P.[Gui-Ping],
Matching of Artificial Target Points Based on Space Intersection,
ISPRS08(B5: 111 ff).
PDF File. 0807
BibRef

Kang, W.B.[Woo-Bum], Eiho, S.[Shigeru],
3D Tracking Using 2D-3D Line Segment Correspondence and 2D Point Motion,
VISAPP06(367-380).
Springer DOI 0711
BibRef

Alshawabkeh, Y., Haala, N., Fritsch, D.,
2D-3D feature extraction and registration of real world scenes,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Batlle, E.[Elisabet], Matabosch, C.[Carles], Salvi, J.[Joaquim],
Summarizing Image/Surface Registration for 6DOF Robot/Camera Pose Estimation,
IbPRIA07(II: 105-112).
Springer DOI 0706
BibRef

Matabosch, C.[Carles], Batlle, E.[Elisabet], Fofi, D.[David], Salvi, J.[Joaquim],
A Variant of Point-to-Plane Registration including Cycle Minimization,
PCV06(xx-yy).
PDF File. 0609
BibRef

Islam, M.S., Lin, Z.[Zhu],
Matching Interest Points of an Object,
ICIP05(I: 373-376).
IEEE DOI 0512
BibRef

Jian, B.[Bing], Vemuri, B.C.[Baba C.],
Robust Point Set Registration Using Gaussian Mixture Models,
PAMI(33), No. 8, August 2011, pp. 1633-1645.
IEEE DOI 1107
BibRef
Earlier:
A Robust Algorithm for Point Set Registration Using Mixture of Gaussians,
ICCV05(II: 1246-1251).
IEEE DOI 0510
Rigid and non-rigid registration with significant noise. Inputs as Gaussian mixture models. Assign 2 mixtures so that statistical discrepancy is minimized. BibRef

Deng, H.L.[Hong-Li], Mortensen, E.N.[Eric N.], Shapiro, L.G.[Linda G.], Dietterich, T.G.[Thomas G.],
Reinforcement Matching Using Region Context,
BP06(11).
IEEE DOI 0609
BibRef

Deng, H.L.[Hong-Li], Zhang, W.[Wei], Mortensen, E.N.[Eric N.], Dietterich, T.G.[Thomas G.], Shapiro, L.G.[Linda G.],
Principal Curvature-Based Region Detector for Object Recognition,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Zhang, W.[Wei], Deng, H.L.[Hong-Li], Dietterich, T.G.[Thomas G.], Mortensen, E.N.[Eric N.],
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions,
ICPR06(I: 778-782).
IEEE DOI 0609
BibRef

Mortensen, E.N.[Eric N.], Deng, H.L.[Hong-Li], Shapiro, L.G.[Linda G.],
A SIFT Descriptor with Global Context,
CVPR05(I: 184-190).
IEEE DOI 0507
SIFT: See also Distinctive Image Features from Scale-Invariant Keypoints. Matching feature points, both local information and global context. BibRef

Li, B.H.[Bai-Hua], Holstein, H.,
Using k-d trees for robust 3D point pattern matching,
3DIM03(95-102).
IEEE DOI 0311
BibRef

Stoddart, A.J., Hilton, A.,
Registration of Multiple Point Sets,
ICPR96(II: 40-44).
IEEE DOI 9608
(Univ. of Surrey, UK) BibRef

Cheng, Y.Q.[Yong-Qing], Collins, R.T.[Robert T.], Hanson, A.R.[Allen R.], and Riseman, E.M.[Edward M.],
Triangulation without Correspondences,
ARPA94(II:993-1000). Actually from 2-D point data, but using structural reconstructions. BibRef 9400

Heuser, M., and Liedtke, C.E.,
Recognition of the Spatial Position of Industrial 3D-Objects Using Relaxation Techniques,
ICPR90(I: 191-193).
IEEE DOI Matching based on 3-D corner features. BibRef 9000

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Point Based Pose Estimation and Recognition .


Last update:Dec 15, 2017 at 20:32:53