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

Chapter Contents (Back)
Two Dimensional Points. Point Matching. Matching, Points. Matching, Edges.

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.
WWW Version. 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.
WWW Version. 0309
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Medalia, A.I., Hornik, G.J.,
Pattern recognition problems in the study of carbon black,
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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 Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Version. 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.
WWW Version. 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.
WWW Version. BibRef 9206
Earlier:
Modal Approach to Feature-Based Correspondence,
BMVC91(78-95).
PDF Version. 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 Link BibRef 9510
Earlier:
Motion from Point Matches Using Affine Epipolar Geometry,
ECCV94(B:73-84).
Springer DOI Link 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.
WWW Version.
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.
WWW Version. 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., Backer, E.,
Finding Point Correspondences Using Simulated Annealing,
PR(28), No. 2, February 1995, pp. 231-240.
WWW Version. BibRef 9502

Sprinzak, J., Werman, M.,
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.
WWW Version. 0412
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 Link BibRef 9505

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

Bhaskar, S.K., Rosenfeld, A., Wu, A.,
Models for Neighbor Dependency in Planar Point Patterns,
PR(22), No. 5, 1989, pp. 533-559.
WWW Version. BibRef 8900

Rao, N.S.V.,
On Similarity Between Finite Sets in Plane,
PR(24), No. 9, 1991, pp. 891-893.
WWW Version. BibRef 9100

Cheng, F.H.,
Point Pattern-Matching Algorithm Invariant to Geometrical Transformation and Distortion,
PRL(17), No. 14, December 30 1996, pp. 1429-1435. 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.
WWW Version. 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. 9706

WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 9712
BibRef
Earlier:
On the amount of data required for reliable recognition,
ICPR94(A:726-729).
IEEE DOI Link 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. 9911

WWW Version. BibRef
Earlier:
Recognition of planar point configurations using the density of affine shape,
ECCV98(I: 72).
WWW Version. BibRef

Berthilsson, R.,
Finding Correspondences of Patches by Means of Affine Transformations,
ICCV99(1117-1122).
IEEE DOI Link 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. 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 Abstract. IEEE Top Reference.
WWW Version. 0101
BibRef
Earlier:
ROR: Rejection of Outliers by Rotations in Stereo Matching,
CVPR00(I: 2-9).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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],
Image Matching Using Photometric Information,
CVPR06(II: 2506-2514).
IEEE DOI Link 0606
BibRef

Kaplan, A., Rivlin, E., Shimshoni, I.,
Robust feature matching across widely separated color images,
ICPR04(II: 136-139).
IEEE DOI Link 0409
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.
WWW Version. 0102
BibRef
Earlier:
Multiple View Surface Registration with Error Modeling and Analysis,
ICIP00(Vol I: 545-548).
IEEE Abstract. IEEE Top Reference. 0008
BibRef
And:
Evaluation of a Novel Multiple Point Set Registration Algorithm,
ICPR00(Vol I: 1007-1010).
IEEE DOI Link
HTML Version. 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 Link 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.
WWW Version. 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.
WWW Version.
HTML Version. 0204
BibRef
Earlier:
Procrustes Alignment with the EM Algorithm,
CAIP99(623-631).
WWW Version. 9909
BibRef
And:
Matching Point-sets using Procrustes Alignment and the EM Algorithm,
BMVC99(Multi-View Techniques).
PDF Version. BibRef

Luo, B.[Bin], Hancock, E.R.,
A unified framework for alignment and correspondence,
CVIU(92), No. 1, October 2003, pp. 26-55.
WWW Version. 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.
HTML Version. 0202
BibRef
Earlier:
Coping with 3D Artifacts in Video Sequences,
ICPR00(Vol IV: 623-626).
IEEE DOI Link
HTML Version. 0009
Fit mesh then match mesh planes, so model motion as a set of planes. BibRef

Maciel, J.[Joćo], Costeira, J.P.[Joćo P.],
Robust Point Correspondence by Concave Minimization,
IVC(20), No. 9-10, August 2002, pp. 683-690.
WWW Version. 0208
BibRef
Earlier: BMVC00(xx-yy).
PDF Version. 0009
BibRef

Maciel, J.[Joćo], Costeira, J.P.[Joćo P.],
A global solution to sparse correspondence problems,
PAMI(25), No. 2, February 2003, pp. 187-199.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0301
Correspondence between sparse point sets. 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 Link 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.
HTML Version. 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. IEEE Top Reference. 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.
WWW Version. 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. IEEE Top Reference. 0412
BibRef
Earlier: ICCV03(110-115).
IEEE DOI Link 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.
WWW Version. 0510
BibRef
Earlier:
New method for sparse point-sets matching with underlying non-rigidity,
ICPR04(III: 8-11).
IEEE DOI Link 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.
WWW Version. 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 Link 0604
BibRef
Earlier:
Robust Point Matching for Two-Dimensional Nonrigid Shapes,
ICCV05(II: 1561-1566).
IEEE DOI Link 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.
WWW Version. 0604
BibRef
Earlier:
A Unified Formulation of Invariant Point Pattern Matching,
ICPR06(III: 121-124).
WWW Version. 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 Link 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 Link 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 Link 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. 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.
WWW Version. 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.
WWW Version. 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.
WWW Version. 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.
WWW Version. 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.[Xinting], 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.
WWW Version. 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.
WWW Version. 0711
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Earlier:
Near-Duplicate Detection Using a New Framework of Constructing Accurate Affine Invariant Regions,
Visual07(61-72).
Springer DOI Link 0706
BibRef
Earlier:
A Low-Complexity Deformation Invariant Descriptor,
ICPR06(II: 227-230).
WWW Version. 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).
WWW Version. 0609
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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 Link 0801
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Wiles, A.D., Likholyot, A., Frantz, D.D., Peters, T.M.,
A Statistical Model for Point-Based Target Registration Error With Anisotropic Fiducial Localizer Error,
MedImg(27), No. 3, March 2008, pp. 378-390.
IEEE DOI Link 0803
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Wiles, A.D., Peters, T.M.,
Real-Time Estimation of FLE Statistics for 3-D Tracking With Point-Based Registration,
MedImg(28), No. 9, September 2009, pp. 1384-1398.
IEEE DOI Link 0909
FLE: Fiducial Localizer Error 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 Version. 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).
WWW Version. 0505
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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 Link 0907
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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 Link 0710
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Earlier: A2, A1, A3, A4:
Top-Points as Interest Points for Image Matching,
ECCV06(I: 418-429).
Springer DOI Link 0608
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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 Link 0505
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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).
HTML Version. 0310
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Balmashnova, E.G.[Evgeniya G.], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.[Bart],
Feature Vector Similarity Based on Local Structure,
SSVM07(386-393).
Springer DOI Link 0705
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Kanters, F.M.W.[Frans M.W.], Denton, T.[Trip], Shokoufandeh, A.[Ali], Florack, L.M.J.[Luc M.J.], ter Haar Romeny, B.[Bart],
Combining Different Types of Scale Space Interest Points Using Canonical Sets,
SSVM07(374-385).
Springer DOI Link 0705
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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).
WWW Version. 0505
See also Novel Similarity Measures for Differential Invariant Descriptors for Generic Object Retrieval. 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.
WWW Version. 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 Link
WWW Version. 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 Link
WWW Version. 0904
BibRef
Earlier:
Reducing ambiguity in feature point matching by preserving local geometric consistency,
ICIP08(293-296).
IEEE DOI Link 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 Link
WWW Version. 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.
WWW Version.
WWW Version. BibRef 0900
Earlier:
A contrario matching of SIFT-like descriptors,
ICPR08(1-4).
IEEE DOI Link 0812
statistical analysis of matching processes; local feature matching; dissimilarity measure; Earth Mover's Distance; a contrario BibRef


Breitenreicher, D.[Dirk], Schnörr, C.[Christoph],
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence,
EMMCVPR09(274-287).
Springer DOI Link 0908
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Chin, T.J.[Tat-Jun], Suter, D.[David],
Keypoint induced distance profiles for visual recognition,
CVPR09(1239-1246).
IEEE DOI Link 0906
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,
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Xu, L.F.[Lie-Fei], Dinh, H.Q.[H. Quynh],
A local descriptor for finding corresponding points in vector fields,
ICPR08(1-4).
IEEE DOI Link 0812
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Domke, J.[Justin], Aloimonos, Y.[Yiannis],
Signals on Pencils of Lines,
ICCV07(1-7).
IEEE DOI Link 0710
Comparing the signals in different images, with no use of feature detection. BibRef

Lombaert, H.[Herve], Sun, Y.Y.[Yi-Yong], Cheriet, F.[Farida],
Landmark-Based Non-rigid Registration Via Graph Cuts,
ICIAR07(166-175).
Springer DOI Link 0708
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Nordberg, K.[Klas],
Point Matching Constraints in Two and Three Views,
DAGM07(52-61).
Springer DOI Link 0709
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And:
Single-View Matching Constraints,
ISVC07(II: 397-406).
Springer DOI Link 0711
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Karlsson, J.[Johan], Astrom, K.[Kalle],
MDL patch correspondences on unlabeled images,
ICPR08(1-5).
IEEE DOI Link 0812
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And:
MDL patch correspondences on unlabeled images with occlusions,
NORDIA08(1-8).
IEEE DOI Link 0806
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Åström, K.[Kalle], Karlsson, J.[Johan], Enquist, 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 Link 0706
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Ericsson, A.[Anders], Karlsson, J.[Johan],
Aligning Shapes by Minimising the Description Length,
SCIA05(709-718).
Springer DOI Link 0506
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Slot, K.[Krzysztof], Korbel, P.[Piotr], Kim, H.[Hyongsuk], Lee, M.[Malrey], Ko, S.[Suhong],
Parallel Implementation of Elastic Grid Matching Using Cellular Neural Networks,
MIRAGE07(472-481).
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Martin, L.[Lucile], Leroux, C.[Christophe], Pissaloux, E.E.[Edwige E.],
Statistical feature point matching method,
IEVM06(xx-yy).
PDF Version. 0609
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Süsse, H.[Herbert], Ortmann, W., Voss, K.[Klaus],
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ICIAR06(II: 434-444).
Springer DOI Link 0610
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Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
Point Pattern Matching Via Spectral Geometry,
SSPR06(459-467).
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Robles-Kelly, A.[Antonio], Moses, Y.[Yael],
Transitivity-based Removal of Correspondence Outliers for Motion Analysis,
PercOrg06(202).
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Wang, L.[Lu], Li, Y.L.[Yu-Ling], Cai, Z.[Zixing],
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ICPR06(II: 369-372).
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McNeill, G.[Graham], Vijayakumar, S.[Sethu],
A Probabilistic Approach to Robust Shape Matching,
ICIP06(937-940). 0610

IEEE DOI Link BibRef
Earlier:
Part-Based Probabilistic Point Matching,
ICPR06(II: 382-386).
WWW Version. 0609
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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).
WWW Version. 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).
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Chiu, H.P.[Han-Pang], Lozano-Perez, T.[Tomas],
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ICPR06(II: 167-170).
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Lourakis, M.I.A., Argyros, A.A., Marias, K.,
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ICPR04(II: 827-830).
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Tola, E.[Engin], Lepetit, V.[Vincent], Fua, P.[Pascal],
A fast local descriptor for dense matching,
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Ozuysal, M.[Mustafa], Lepetit, V.[Vincent], Fua, P.[Pascal],
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CVPR09(778-785).
IEEE DOI Link 0906
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Moreno-Noguer, F.[Francesc], Lepetit, V.[Vincent], Fua, P.[Pascal],
Pose Priors for Simultaneously Solving Alignment and Correspondence,
ECCV08(II: 405-418).
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Lepetit, V., Pilet, J., Fua, P.,
Point matching as a classification problem for fast and robust object pose estimation,
CVPR04(II: 244-250).
IEEE Abstract. IEEE Top Reference. 0408
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Tsin, Y.H.[Yang-Hai], Kanade, T.[Takeo],
A Correlation-Based Approach to Robust Point Set Registration,
ECCV04(Vol III: 558-569).
WWW Version. 0405
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Tsin, Y.,
Kernel Correlation as an Affinity Measure in Point-Sampled Vision Problems,
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McGuinness, P.J.[Peter J.], Chen, G.Q.[George Q.], Stein, C.M.[Clifford M.], Ng, K.C.[Kim C.],
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Chen, G.Q.[George Qian],
Robust Point Feature Matching in Projective Space,
CVPR01(I:717-722).
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Point matching in multiple images. BibRef

Jung, I.K.[Il-Kyun], Lacroix, S.[Simon],
A Robust Interest Points Matching Algorithm,
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Baumberg, A.M.[Adam Michael],
Image processing method and apparatus,
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Baumberg, A.M.[Adam M.],
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applied to stereo BibRef

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A Geometric Invariant Representation for The Identification of Corresponding Points,
ICIP99(II:462-466).
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Cunnington, S.J., Stoddart, A.,
N-View point set registration: A comparison,
BMVC99(Posters/Demos).
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Goldberger, J.,
Registration of Multiple Point Sets using the EM Algorithm,
ICCV99(730-736).
IEEE DOI Link BibRef 9900

Leclerc, Y.G.[Yvan G.], Luong, Q.T.[Q. Tuan], Fua, P.[Pascal],
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DARPA98(793-808).
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Leclerc, Y.G., Luong, Q.T., Fua, P.V.,
Measuring the Self-Consistency of Stereo Algorithms,
ECCV00(I: 282-298).
WWW Version. 0003

PDF Version. 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.],
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CVPR96(61-66).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9600

Thacker, N.A., Courtney, P.,
Statistical Analysis of a Stereo Matching Algorithm,
BMVC92(316-326).
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Murtagh, F.,
A feature-based O(N2) approach to point pattern matching,
ICPR92(II:174-177).
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Wakahara, T.,
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ICPR90(I: 837-841).
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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 Link
IEEE Top Reference. 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 .


Last update:Nov 16, 2009 at 19:35:14