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

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

Simon, J.C., Checroun, A., Roche, C.,
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Matcher,
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HTML Version. BibRef 8709
Earlier: US_Patent4,618,988, 10/21/1986.
HTML Version. Match point patterns (finger print features). BibRef

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Hu, X.P., Ahuja, N.,
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Earlier:
Feature grouping by 'relocalisation' of eigenvectors of the proximity matrix,
BMVC90(xx-yy).
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Point assignment. Proximity and uniqueness constraints using eigenvalue descriptions. A SVD of image proximity matrix. BibRef

Goshtasby, A.A.,
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Goshtasby, A.A., and Stockman, G.C.,
Point Pattern Matching Using Convex Hull Edges,
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Shapiro, L.S.[Larry S.], Brady, J.M.[J. Michael],
Feature-Based Correspondence: An Eigenvector Approach,
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Earlier:
Modal Approach to Feature-Based Correspondence,
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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,
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Shapiro, L.S., Zisserman, A., Brady, M.,
3D Motion Recovery via Affine Epipolar Geometry,
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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.,
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Shapiro, L.S.,
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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.
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Yuen, P.C., Tsang, P.W.M., and Lam, F.K.,
Robust Matching Process: A Dominant Point Approach,
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Starink, J.P.P.[J.P. Pascual], Backer, E.[Eric],
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Starink, J.P.P.[J.P. Pascual], Werman, M.[Michael],
Affine Point Matching,
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Govindu, V.M.[Venu Madhav], Werman, M.[Michael],
On using priors in affine matching,
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Morgera, S.D., Cheong, P.L.C.,
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Skea, D., Barrodale, I., Kuwahara, R., Poeckert, R.,
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Bhaskar, S.K., Rosenfeld, A.[Azriel], Wu, A.[Angela],
Models for Neighbor Dependency in Planar Point Patterns,
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Rao, N.S.V.[Nageswara S.V.],
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Cheng, F.H.[Fang-Hsuan],
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Chang, S.H., Cheng, F.H., Hsu, W.H., Wu, G.Z.,
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Pla, F., Marchant, J.A.,
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Lindenbaum, M.[Michael],
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Earlier:
On the amount of data required for reliable recognition,
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IEEE DOI 9410
2D objects and affine similarity. BibRef

Berthilsson, R.[Rikard], Heyden, A.[Anders],
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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).
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Johansson, J.O.[Jan-Olof],
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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.
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Earlier:
Prominent field for shape processing of archaeological artifacts,
DigArt09(915-922).
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Kolomenkin, M.[Michael], Shimshoni, I.[Ilan],
Image Matching Using Photometric Information,
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Kaplan, A., Rivlin, E., Shimshoni, I.,
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ICPR04(II: 136-139).
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Talker, L.[Lior], Moses, Y.[Yael], Shimshoni, I.[Ilan],
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CVPR16(1809-1817)
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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
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And:
Evaluation of a Novel Multiple Point Set Registration Algorithm,
ICPR00(Vol I: 1007-1010).
IEEE DOI 0009
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Bennamoun, M.[Mohammed], Williams, J.A.[John A.],
A Non-Linear Filtering Approach to Image Matching,
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IEEE DOI 9808
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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.
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Banks, J., Bennamoun, M.,
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Luo, B.[Bin], Hancock, E.R.[Edwin R.],
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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.
WWW Link. 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.[Joăo], Costeira, J.P.[Joăo P.],
Robust Point Correspondence by Concave Minimization,
IVC(20), No. 9-10, August 2002, pp. 683-690.
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Earlier: BMVC00(xx-yy).
PDF File. 0009
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Maciel, J.[Joăo], Costeira, J.P.[Joăo 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.[Joao],
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

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
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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.,
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PR(37), No. 8, August 2004, pp. 1699-1711.
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O(NlogM3/2) N in scene, M in model. BibRef

Shafique, K., Shah, M.[Mubarak],
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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.
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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],
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PRL(27), No. 4, March 2006, pp. 268-274.
WWW Link. 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.
WWW Link. 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.
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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.
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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.
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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.
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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.
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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
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Earlier:
Near-Duplicate Detection Using a New Framework of Constructing Accurate Affine Invariant Regions,
Visual07(61-72).
Springer DOI 0706
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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,
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IEEE DOI 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 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 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 0909
FLE: Fiducial Localizer Error BibRef

Wiles, A.D., Peters, T.M.,
Target Tracking Errors for 5D and 6D Spatial Measurement Systems,
MedImg(29), No. 3, March 2010, pp. 879-894.
IEEE DOI 1003
5D from magnetic tracking system (XYZ, 2 rotations), combine 2 to get 6D. But not as exact as optical methods. BibRef

Balmashnova, E.G., Florack, L.M.J.,
Novel Similarity Measures for Differential Invariant Descriptors for Generic Object Retrieval,
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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.,
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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.],
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JMIV(35), No. 2, October 2009, pp. xx-yy.
Springer DOI 0907
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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).
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
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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 0710
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Earlier: A2, A1, A3, A4:
Top-Points as Interest Points for Image Matching,
ECCV06(I: 418-429).
Springer DOI 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 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
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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.],
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SSVM07(374-385).
Springer DOI 0705
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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
See also Initial Study on Vehicle Information Extraction from Single Pass QuickBird Satellite Imagery, An. BibRef

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
BibRef

Cheng, X.G.[Xian-Gang], Hu, Y.Q.[Yi-Qun], Chia, L.T.[Liang-Tien],
Exploiting local dependencies with spatial-scale space (S-Cube) for near-duplicate retrieval,
CVIU(115), No. 6, June 2011, pp. 750-758.
Elsevier DOI 1104
Local dependency; Near-duplicate; Spatial-scale space; Conditional independence BibRef

Lepetit, V.[Vincent], Fua, P.[Pascal],
Keypoint Recognition Using Randomized Trees,
PAMI(28), No. 9, September 2006, pp. 1465-1479.
IEEE DOI 0608
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Ozuysal, M.[Mustafa], Calonder, M.[Michael], Lepetit, V.[Vincent], Fua, P.[Pascal],
Fast Keypoint Recognition Using Random Ferns,
PAMI(32), No. 3, March 2010, pp. 448-461.
IEEE DOI 1002
BibRef
Earlier: A2, A3, A4, Only:
Keypoint Signatures for Fast Learning and Recognition,
ECCV08(I: 58-71).
Springer DOI 0810
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Earlier: A1, A4, A3, Only:
Fast Keypoint Recognition in Ten Lines of Code,
CVPR07(1-8).
IEEE DOI 0706
Feature point recognition for object detection. Patches around key points. BibRef

Calonder, M.[Michael], Lepetit, V.[Vincent], Ozuysal, M.[Mustafa], Trzcinski, T.[Tomasz], Strecha, C.[Christoph], Fua, P.[Pascal],
BRIEF: Computing a Local Binary Descriptor Very Fast,
PAMI(34), No. 7, July 2012, pp. 1281-1298.
IEEE DOI 1205
BibRef
Earlier: A1, A2, A5, A6, Only:
BRIEF: Binary Robust Independent Elementary Features,
ECCV10(IV: 778-792).
Springer DOI 1009
Binary descriptor to compare feature poitns. SIFT started it. Directly compute the binary value (not floating point values), much faster than SIFT and SURF. BibRef

Trzcinski, T.[Tomasz], Christoudias, M.[Mario], Lepetit, V.[Vincent],
Learning Image Descriptors with Boosting,
PAMI(37), No. 3, March 2015, pp. 597-610.
IEEE DOI 1502
Boosting BibRef

Trzcinski, T.[Tomasz], Christoudias, M.[Mario], Fua, P.[Pascal], Lepetit, V.[Vincent],
Boosting Binary Keypoint Descriptors,
CVPR13(2874-2881)
IEEE DOI 1309
Binary Embedding; Binary Local Feature Descriptors; Boosting BibRef

Trzcinski, T.[Tomasz], Lepetit, V.[Vincent],
Efficient Discriminative Projections for Compact Binary Descriptors,
ECCV12(I: 228-242).
Springer DOI 1210
BibRef

Calonder, M.[Michael], Lepetit, V.[Vincent], Fua, P.[Pascal],
Pareto-optimal dictionaries for signatures,
CVPR10(3011-3018).
IEEE DOI 1006
image patch descriptors. BibRef

Lepetit, V.[Vincent], Lagger, P.[Pascal], Fua, P.[Pascal],
Randomized Trees for Real-Time Keypoint Recognition,
CVPR05(II: 775-781).
IEEE DOI 0507
Wide baseline matching as a classification problem. BibRef

Ozuysal, M.[Mustafa], Lepetit, V.[Vincent], Fua, P.[Pascal],
Pose estimation for category specific multiview object localization,
CVPR09(778-785).
IEEE DOI 0906
BibRef

Serradell, E.[Eduard], Özuysal, M.[Mustafa], Lepetit, V.[Vincent], Fua, P.[Pascal], Moreno-Noguer, F.[Francesc],
Combining Geometric and Appearance Priors for Robust Homography Estimation,
ECCV10(III: 58-72).
Springer DOI 1009
BibRef

Moreno-Noguer, F.[Francesc], Lepetit, V.[Vincent], Fua, P.[Pascal],
Pose Priors for Simultaneously Solving Alignment and Correspondence,
ECCV08(II: 405-418).
Springer DOI 0810
BibRef

Lepetit, V., Pilet, J., Fua, P.,
Point matching as a classification problem for fast and robust object pose estimation,
CVPR04(II: 244-250).
IEEE DOI 0408
BibRef

Tola, E.[Engin], Lepetit, V.[Vincent], Fua, P.[Pascal],
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo,
PAMI(32), No. 5, May 2010, pp. 815-830.
IEEE DOI 1003
BibRef
Earlier:
A fast local descriptor for dense matching,
CVPR08(1-8).
IEEE DOI 0806
Dense local descriptor used for dense stereo matching. More robust than correlation. BibRef

Calonder, M.[Michael], Lepetit, V.[Vincent], Fua, P.[Pascal], Konolige, K.G.[Kurt G.], Bowman, J.[James], Mihelich, P.[Patrick],
Compact signatures for high-speed interest point description and matching,
ICCV09(357-364).
IEEE DOI 0909
BibRef

Lian, W.[Wei], Zhang, L.[Lei], Liang, Y.[Yan], Pan, Q.[Quan],
A quadratic programming based cluster correspondence projection algorithm for fast point matching,
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],
An Efficient Globally Optimal Algorithm for Asymmetric Point Matching,
PAMI(39), No. 7, July 2017, pp. 1281-1293.
IEEE DOI 1706
Algorithm design and analysis, Annealing, Context, Electronic mail, 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.
WWW Link. 1003
The more the better. BibRef

Xie, W.J.[Wen-Jie], Xu, D.[De], Tang, Y.J.[Ying-Jun], Cui, G.[Geng],
Multi-Scale Multi-Level Generative Model in Scene Classification,
IEICE(E94-D), No. 1, January 2011, pp. 167-170.
WWW Link. 1101
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Li, X.R.[Xiang-Ru], Hu, Z.Y.[Zhan-Yi],
Rejecting Mismatches by Correspondence Function,
IJCV(89), No. 1, August 2010, pp. xx-yy.
Springer DOI 1004
ICF (Identifying point correspondences by Correspondence Function). BibRef

Breitenreicher, D.[Dirk], Schnörr, C.[Christoph],
Robust 3D object registration without explicit correspondence using geometric integration,
MVA(21), No. 5, August 2010, pp. 601-611.
WWW Link. 1011
BibRef
Earlier:
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence,
EMMCVPR09(274-287).
Springer DOI 0908
BibRef

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.
WWW Link. 1103
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Silletti, A.[Alberto], Abate, A.[Alessandro], Axelrod, J.D.[Jeffrey D.], Tomlin, C.J.[Claire J.],
Versatile spectral methods for point set matching,
PRL(32), No. 5, 1 April 2011, pp. 731-739.
Elsevier DOI 1103
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
BibRef
Earlier:
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes,
ACCV10(I: 135-148).
Springer DOI 1011
BibRef
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.[Carsten],
Least-squares estimation of anisotropic similarity transformations from corresponding 2D point sets,
PRL(33), No. 3, 1 February 2012, pp. 349-355.
Elsevier DOI 1201
Computer vision; Pose estimation; Least-squares adjustment 2D affine pose estimation. BibRef

Guo, X.J.[Xiao-Jie], Cao, X.C.[Xiao-Chun],
Good match exploration using triangle constraint,
PRL(33), No. 7, 1 May 2012, pp. 872-881.
Elsevier DOI 1203
BibRef
Earlier:
Triangle-Constraint for Finding More Good Features,
ICPR10(1393-1396).
IEEE DOI 1008
Award, ICPR. Triangle constraint; Matching score; Number of correct matches; Similarity measurement Find some matches, grow to more matches. BibRef

Li, Q.[Qi],
Interest Points of General Imbalance,
IP(18), No. 11, November 2009, pp. 2536-2546.
IEEE DOI 0911
Stable interest points in texture. Apply to road sign detection. BibRef

Li, Q.[Qi],
A Hybrid Representation of Imbalanced Points for Two-Layer Matching,
ICIAR11(I: 232-241).
Springer DOI 1106
BibRef

Li, Q.[Qi], Xia, Z.H.[Zhong-Hang], Tao, D.C.[Da-Cheng],
A global-to-local scheme for imbalanced point matching,
ICIP09(2117-2120).
IEEE DOI 0911
BibRef

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
BibRef
Earlier:
Matching of interest point groups with pairwise spatial constraints,
ICIP10(2693-2696).
IEEE DOI 1009
BibRef

Gao, Y., Rathi, Y., Bouix, S., Tannenbaum, A.R.,
Filtering in the Diffeomorphism Group and the Registration of Point Sets,
IP(21), No. 10, October 2012, pp. 4383-4396.
IEEE DOI 1209
BibRef

Condello, G.[Giovanni], Pasteris, P.[Paolo], Pau, D.[Danilo], Sami, M.[Mariagiovanna],
An OpenCL-based feature matcher,
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.],
Spatial consistency of dense features within interest regions for efficient landmark recognition,
VC(29), No. 6-8, June 2013, pp. 491-499.
WWW Link. 1306
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Bhattacharya, P.[Priyadarshi], Gavrilova, M.L.[Marina L.],
Rotation invariance for dense features inside regions of interest,
VC(30), No. 6-8, June 2014, pp. 569-578.
WWW Link. 1407
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Chen, P.W.[Peng-Wen], Lin, C.L.[Ching-Long], Chern, I.L.[I-Liang],
A Perfect Match Condition for Point-Set Matching Problems Using the Optimal Mass Transport Approach,
SIIMS(6), No. 2, 2013, pp. 730-764.
DOI Link 1307
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Tang, J.[Jun], Shao, L.[Ling], Zhen, X.T.[Xian-Tong],
Robust point pattern matching based on spectral context,
PR(47), No. 3, 2014, pp. 1469-1484.
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)
IEEE DOI 1406
Context BibRef

Sur, F., Noury, N., Berger, M.,
An A Contrario Model for Matching Interest Points under Geometric and Photometric Constraints,
SIIMS(6), No. 4, 2013, pp. 1956-1978.
DOI Link 1402
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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.
WWW Link. 1404
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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,
GeoRS(52), No. 9, September 2014, pp. 5612-5621.
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,
ELCVIA(13), No. 1, 2014, pp. 5.
WWW Link. 1408
Estimating orientation to do orientation invariant point matching. BibRef

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
BibRef
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],
A robust global and local mixture distance based non-rigid point set registration,
PR(48), No. 1, 2015, pp. 156-173.
Elsevier DOI 1410
Non-rigid point set registration 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.[Jihua], 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.
DOI Link 1411
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],
Low-rank matrix approximations for Coherent point drift,
PRL(52), No. 1, 2015, pp. 53-58.
Elsevier DOI 1412
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.
IEEE DOI 1412
computational complexity 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.
WWW Link. 1505
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Chen, C.C.[Chun-Che], Hsieh, S.L.[Shang-Lin],
Using binarization and hashing for efficient SIFT matching,
JVCIR(30), No. 1, 2015, pp. 86-93.
Elsevier DOI 1507
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,
RS(7), No. 6, 2015, pp. 7044.
DOI Link 1507
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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.
DOI Link 1507
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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,
EMMCVPR15(392-405).
Springer DOI 1504
BibRef

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.
Elsevier DOI 1512
Consensus BibRef

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 BibRef

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
BibRef
Earlier:
Consensus of Two Graph Correspondences Through a Generalisation of the Bipartite Graph Matching,
GbRPR15(87-97).
Springer DOI 1511
BibRef
Earlier: A1, A3, A2:
Iterative Versus Voting Method to Reach Consensus Given Multiple Correspondences of Two Sets,
IbPRIA15(530-540).
Springer DOI 1506
BibRef

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.[Zhifei], 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.
DOI Link 1512
Gaussian processes BibRef

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.
DOI Link 1608
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.,
Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching,
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)
IEEE DOI 1412
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
BibRef

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
BibRef

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, Three-dimensional displays, 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
BibRef

Ardö, H.[Hĺkan], 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],
Tractable and Reliable Registration of 2D Point Sets,
ECCV14(I: 393-406).
Springer DOI 1408
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Maiseli, B.[Baraka], Gu, Y.F.[Yan-Feng], Gao, H.[Huijun],
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.[Jiazhen], Wang, Z.[Zihao], Ma, L.[Long], Niu, Y.[Yifan],
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],
A new Least Squares based congealing technique,
PRL(95), No. 1, 2017, pp. 58-64.
Elsevier DOI 1708
Image alignment BibRef


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
BibRef

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

Deng, W.X.[Wan-Xia], Zou, H.X.[Huan-Xin], Guo, F.[Fang], Lei, L.[Lin], Zhou, S.,
Point Pattern Matching based on point pair local nonuniform ODT and Spectral Matching,
ICIVC16(3-8)
IEEE DOI 1610
eigenvalues and eigenfunctions BibRef

Wang, H.,
Residual-consensus driven linear matching,
VCIP15(1-4)
IEEE DOI 1605
Adaptation models 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
BibRef

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
BibRef

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

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
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
BibRef
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
BibRef

Yu, C.[Chuan], Tian, L.[Lu], Hu, H.[Han], Duan, Y.[Yueqi], 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)
IEEE DOI 1402
Algorithm design and analysis BibRef

Perra, D.[David], Frahm, J.M.[Jan-Michael],
Cloud-scale Image Compression Through Content Deduplication,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

De Neyer, Q.[Quentin], De Vleeschouwer, C.[Christophe],
A Resource Allocation Framework for Adaptive Selection of Point Matching Strategies,
ACIVS13(366-377).
Springer DOI 1311
BibRef

Ok, D.[David], Marlet, R.[Renaud], Audibert, J.Y.[Jean-Yves],
Efficient and Scalable 4th-Order Match Propagation,
ACCV12(I:460-473).
Springer DOI 1304
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).
IEEE DOI 1302
matching SIFT descriptors BibRef

Xu, H.H.[Hui-Hui], Liu, J.D.[Jun-Dong], Smith, C.D.[Charles D.],
Robust and efficient point registration based on clusters and Generalized Radial Basis Functions (C-GRBF),
ICIP12(1669-1672).
IEEE DOI 1302
BibRef

Luana, X.,
A Structure-based Approach For Matching Road Junctions With Different Coordinate Systems,
AnnalsPRS(I-4), No. 2012, pp. 41-46.
HTML Version. 1209
BibRef

Meskine, F.[Fatiha], Taleb, N.[Nasreddine], Almhdie-Imjabber, A.[Ahmad],
A 2D Rigid Point Registration for Satellite Imaging Using Genetic Algorithms,
ICISP12(442-450).
Springer DOI 1208
BibRef

Liu, S.G.[Shao-Guo], Wang, H.B.[Hai-Bo], Zhang, J.X.[Ji-Xia], Davoine, F.[Franck], Pan, C.H.[Chun-Hong],
Softferns for homography estimation,
ICIP11(2981-2984).
IEEE DOI 1201
Keypoint matching. Ferns and homography iteratively refine the estimate. BibRef

Carrasco, M.[Miguel], Mery, D.[Domingo],
Bifocal Matching Using Multiple Geometrical Solutions,
PSIVT11(II: 192-203).
Springer DOI 1111
Point-to-point matching invariant features, and multiple partial solutions considering the geometry. BibRef

Novák, D.[David], Baltsavias, E.[Emmanuel], Schindler, K.[Konrad],
Reliable Image Matching with Recursive Tiling,
PIA11(49-60).
Springer DOI 1110
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
BibRef

Wang, J.W.[Jun-Wei], Zhou, Y.[Yu], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu],
Shape Matching and Recognition Using Group-Wised Points,
PSIVT11(II: 393-404).
Springer DOI 1111
See also Path Similarity Skeleton Graph Matching. BibRef

Zhou, Y.[Yu], Wang, J.W.[Jun-Wei], Zhou, Q.[Quan], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu],
Shape Matching Using Points Co-Occurrence Pattern,
ICIG11(344-349).
IEEE DOI 1109
BibRef

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,
ISVC13(I:363-372).
Springer DOI 1310
BibRef

Cui, Y.[Yan], Pagani, A.[Alain], Stricker, D.[Didier],
Robust Point Matching in HDRI through Estimation of Illumination Distribution,
DAGM11(226-235).
Springer DOI 1109
BibRef

Manninen, T.[Tapio], Rönkkä, R.[Risto], Huttunen, H.[Heikki],
Point Pattern Matching for 2-D Point Sets with Regular Structure,
SCIA11(156-165).
Springer DOI 1105
BibRef

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).
Springer DOI 1011
BibRef

Stentiford, F.[Fred], Bamidele, A.[Ade],
Image recognition using maximal cliques of interest points,
ICIP10(1121-1124).
IEEE DOI 1009
BibRef

Tamersoy, B.[Birgi], Aggarwal, J.K.,
Exploiting Geometric Restrictions in a PTZ Camera for Finding Point-Correspondences Between Configurations,
AVSS10(488-488).
IEEE DOI 1009
BibRef

Yarkony, J.[Julian], Fowlkes, C.C.[Charless C.], Ihler, A.[Alexander],
Covering trees and lower-bounds on quadratic assignment,
CVPR10(887-894).
IEEE DOI 1006
Feature correspondence as an optimization problem. BibRef

Su, J.[Juan], Xu, Q.S.[Qing-Song], Zhu, J.H.[Jing-Hua],
A scene matching algorithm based on SURF feature,
IASP10(434-437).
IEEE DOI 1004
BibRef

Tal, R.[Ron], Spetsakis, M.E.[Minas E.],
Probabilistic Framework for Feature-Point Matching,
CRV10(1-8).
IEEE DOI 1005
BibRef

Posse, A.[Alberto], Torres, J.[Juan], Menendez, J.M.[Jose Manuel],
Matching points in poor edge information images,
ICIP09(197-200).
IEEE DOI 0911
BibRef

Mills, S.[Steven],
Relative orientation and scale for improved feature matching,
ICIP13(3484-3488)
IEEE DOI 1402
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
BibRef
Earlier:
Directed correspondence search: Finding feature correspondences in images using the Harmony Search algorithm,
IVCNZ09(102-107).
IEEE DOI 0911
BibRef

Wang, Z.Z.[Zhuo-Zheng], Mei, Y.L.[Ya-Lei], Jia, K.B.[Ke-Bin],
An Effective Web Image Searching Engine Based on SIFT Feature Matching,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chin, T.J.[Tat-Jun], Suter, D.[David],
Keypoint induced distance profiles for visual recognition,
CVPR09(1239-1246).
IEEE DOI 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).
IEEE DOI 0906
BibRef

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
BibRef

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 0812
BibRef

Domke, J.[Justin], Aloimonos, Y.[Yiannis],
Signals on Pencils of Lines,
ICCV07(1-7).
IEEE DOI 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 0708
BibRef

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

Ĺström, 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.[Suhong],
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.[Zixing],
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 .


Last update:Sep 18, 2017 at 11:34:11