Keith Price Bibliography Matching Issues for Stereo

10.1.10 Matching Issues for Stereo

Chapter Contents (Back)
Stereo, Matching.

Nishihara, H.K.,
Practical Real-Time Imaging Stereo Matcher,
OptEng(23), No. 5, September/October 1984, pp. 536-545. BibRef 8409
And: RCV87(63-72). An earlier, preliminary version was in BibRef SPIE(449), This uses the zero crossing based stereo technique of Marr and Poggio ( See also Cooperative Computation of Stereo Disparity. ) using the signs between the zero crossing. The intent is fast and noise tolerant stereo analysis. BibRef

Nishihara, H.K.,
PRISM: A Practical Real-Time Imaging Stereo Matcher,
MIT AI Memo-780, May 1984.
WWW Version. BibRef 8405

Nishihara, H.K., and Larson, N.G.,
Towards a Real Time Implementation of the Marr and Poggio Stereo Matcher,
DARPA81(114-120). BibRef 8100

Sanger, T.D.,
Stereo disparity computation using gabor Filters,
BioCyber(59), 1988, pp. 405-418. BibRef 8800

Hua, Z.D., Dubuisson, B.,
String Matching for Stereo Vision,
PRL(9), 1989, pp. 117-126. BibRef 8900

Wang, Y.P., and Pavlidis, T.,
Optimal Correspondence for String Subsequences,
PAMI(12), No. 11, November 1990, pp. 1080-1087.
IEEE Abstract. IEEE Top Reference.
WWW Version. Application, Barcodes. Epi-polar line matching technique derived from string matching. BibRef 9011

Kim, D.H., Choi, W.Y., Park, R.H.,
Stereo Matching Technique Based on the Theory of Possibility,
PRL(13), 1992, pp. 735-744. BibRef 9200

Marshall, J.A., Kalarickal, G.J., Graves, E.B.,
Neural Model of Visual Stereomatching: Slant, Transparency and Clouds,
NetCompNeur(7), No. 4, November 1996, pp. 635-669. 9701
BibRef

Cochran, S.D.[Steven Douglas],
Adaptive Vergence for the Stereo Matching of Oblique Imagery,
PandRS(50), No. 4, August 1995, pp. 21-28. BibRef 9508
Earlier: ARPA94(II:1335-1348). BibRef
And: CMU-CS-TR-94-202, October 1994.
HTML Version. BibRef

Lee, J.J., Shim, J.C., Ha, Y.H.,
Stereo Correspondence Using the Hopfield Neural-Network of a New Energy Function,
PR(27), No. 11, November 1994, pp. 1513-1522.
WWW Version. BibRef 9411

Chan, K.L.[Kap-Luk],
Machine vision stereo matching,
US_Patent5,432,712, Jul 11, 1995
WWW Version. Matches along lines. BibRef 9507

de la Cruz, J.M., Pajares, G., Aranda, J.,
A Neural-Network Model in Stereovision Matching,
NeurNet(8), No. 5, 1995, pp. 805-813. BibRef 9500

Pajares, G., de la Cruz, J.M., Aranda, J.,
Stereo Matching Based on the Self-Organizing Feature-Mapping Algorithm,
PRL(19), No. 3-4, March 1998, pp. 319-330. 9807
BibRef

Pajares, G., de la Cruz, J.M., Aranda, J.,
Relaxation by Hopfield Network in Stereo Image Matching,
PR(31), No. 5, May 1998, pp. 561-574.
WWW Version. 9805
BibRef

Pajares, G.[Gonzalo], de la Cruz, J.M.[Jesús Manuel], López-Orozco, J.A.[José Antonio],
Relaxation labeling in stereo image matching,
PR(33), No. 1, January 2000, pp. 53-68.
WWW Version. 0005
See also Fuzzy Cognitive Maps for stereovision matching. BibRef

Pajares, G.[Gonzalo], López-Orozco, J.A.[José Antonio], de la Cruz, J.M.[Jesus M.],
Improving Stereovision Matching through Supervised Learning,
PAA(1), No. 2, 1998, pp. 105-120. BibRef 9800

Pajares, G.[Gonzalo], de la Cruz, J.M.[Jesús M.],
Stereovision matching through support vector machines,
PRL(24), No. 15, November 2003, pp. 2575-2583.
WWW Version. 0308
BibRef

Pajares, G.[Gonzalo], de la Cruz, J.M.[Jesus M.],
On Combining Support Vector Machines and Simulated Annealing in Stereovision Matching,
SMC-B(34), No. 4, August 2004, pp. 1646-1657.
IEEE Abstract. IEEE Top Reference. 0409
BibRef

Pajares, G.[Gonzalo], de la Cruz, J.M.[Jesus M.],
Pattern Recognition Learning Applied to Stereovision Matching,
ICPR98(PRP1). 9808
Not online. BibRef

Pajares, G.[Gonzalo], de la Cruz, J.M.[Jesús M.],
Fuzzy Cognitive Maps for stereovision matching,
PR(39), No. 11, November 2006, pp. 2101-2114.
WWW Version. 0608
Fuzzy Cognitive Maps; Fuzzy Clustering; Relaxation; Fuzzy; Stereovision; Matching; Similarity; Smoothness; Ordering; Epipolar; Uniqueness See also Relaxation labeling in stereo image matching. BibRef

Pajares, G.[Gonzalo], de la Cruz, J.M.[Jesús M.],
Local stereovision matching through the ADALINE neural network,
PRL(22), No. 14, December 2001, pp. 1457-1473.
HTML Version. 0110
BibRef

Herrera, P.J.[P. Javier], Pajares, G.[Gonzalo], Guijarro, M.[María], Ruz, J.J.[J. Jaime], de la Cruz, J.M.[Jesús M.],
Combination of Attributes in Stereovision Matching for Fish-Eye Lenses in Forest Analysis,
ACIVS09(277-287).
Springer DOI Link 0909
BibRef

Smith, P.W., Nandhakumar, N.,
An Improved Power Cepstrum Based Stereo Correspondence Method for Textured Scenes,
PAMI(18), No. 3, March 1996, pp. 338-348.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9603
Earlier:
An Accurate Stereo Correspondence Method for Textured Scenes Using Improved Power Cepstrum Techniques,
CVPR93(651-652).
IEEE Abstract. IEEE Top Reference. BibRef

Chiu, J.M., Chen, Z., Chuang, J.H., Chia, T.L.,
Determination of Feature Correspondences in Stereo Images Using a Calibration Polygon,
PR(30), No. 9, September 1997, pp. 1387-1400.
WWW Version. 9708
BibRef

Cai, L.D.[Li-Dong], Mayhew, J.E.W.,
A Note on Some Phase Differencing Algorithms for Disparity Estimation,
IJCV(22), No. 2, March 1997, pp. 111-124.
WWW Version. 9706
BibRef

Cai, L.D.[Li-Dong], Mayhew, J.E.W.,
Estimating Mean Disparity of Stereo Images Using Shift-trials of Phase Differences,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Georgis, N., Petrou, M., Kittler, J.V.,
On the Correspondence Problem for Wide Angular Separation of Noncoplanar Points,
IVC(16), No. 1, January 30 1998, pp. 35-41.
WWW Version. 9803
BibRef

Park, C.S.[Chang Seob], Park, H.W.[Hyun Wook],
A robust stereo disparity estimation using adaptive window search and dynamic programming search,
PR(34), No. 12, December 2001, pp. 2573-2576.
WWW Version. 0110
BibRef

Lim, H.S.[Han Shin], Park, H.W.[Hyun Wook],
A Dense Disparity Estimation Method using Color Segmentation and Energy Minimization,
ICIP06(1033-1036). 0610

IEEE DOI Link BibRef

Gimel'farb, G.[Georgy],
Probabilistic Regularisation and Symmetry in Binocular Dynamic Programming Stereo,
PRL(23), No. 4, February 2002, pp. 431-442.
HTML Version. 0202
BibRef

Jawahar, C.V., Narayanan, P.J.,
An adaptive multifeature correspondence algorithm for stereo using dynamic programming,
PRL(23), No. 5, March 2002, pp. 549-556.
HTML Version. 0202
BibRef

Jawahar, C.V., Narayanan, P.J.,
Generalised correlation for multi-feature correspondence,
PR(35), No. 6, June 2002, pp. 1303-1313.
WWW Version. 0203
BibRef

Sun, C.M.[Chang-Ming],
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques,
IJCV(47), No. 1-3, April-June 2002, pp. 99-117.
WWW Version. 0203
For demo of the technique:
WWW Version. BibRef
Earlier:
Rectangular Subregioning and 3-D Maximum-Surface Techniques,
SMBV01(xx-yy). 0110
BibRef
Earlier:
Multi-Resolution Stereo Matching Using Maximum-Surface Techniques,
DICTA99(195-200).
Postscript Version. BibRef
Earlier:
A Fast Stereo Matching Method,
DICTA97(95-100). fast, dense matching, coarse-to-fine, dynamic programming
Postscript Version. fast, dense matching, coarse-to-fine, dynamic programming See also Fast optical flow using 3D shortest path techniques. BibRef

Sun, C.M.[Chang-Ming], Peleg, S.,
Fast Panoramic Stereo Matching Using Cylindrical Maximum Surfaces,
SMC-B(34), No. 1, February 2004, pp. 760-765.
IEEE Abstract. IEEE Top Reference.
PDF Version. 0403
BibRef

Leung, S.C.[S. Carlos], Appleton, B.[Ben], Sun, C.M.[Chang-Ming],
Iterated dynamic programming and quadtree subregioning for fast stereo matching,
IVC(26), No. 10, 1 October 2008, pp. 1371-1383.
WWW Version. 0804
BibRef
Earlier:
Fast Stereo Matching by Iterated Dynamic Programming and Quadtree Subregioning,
BMVC04(xx-yy).
HTML Version. 0508
Stereo matching; Energy minimisation; Iterated dynamic programming; Quadtree subregioning BibRef

Torr, P.H.S., Davidson, C.,
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus,
PAMI(25), No. 3, March 2003, pp. 354-364.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0301
BibRef
Earlier: ECCV00(II: 819-833).
WWW Version. 0003
RANSAC. Recovery of epipolar geometry and correspondence with significant deformation (large baseline or rotation). See also Structure from Motion without Correspondence. See also Global Matching Framework for Stereo Computation, A. BibRef

Sun, J.[Jian], Zheng, N.N.[Nan-Ning], Shum, H.Y.[Heung-Yeung],
Stereo Matching Using Belief Propagation,
PAMI(25), No. 7, July 2003, pp. 787-800.
IEEE Abstract. IEEE Top Reference. 0307
BibRef
Earlier: A1, A3, A2: ECCV02(II: 510 ff.).
HTML Version. 0205
Stereo as Markov network to model smooth field, line process for discontinuity and occlusion. BibRef

Gutiérrez, S.[Salvador], Marroquín, J.L.[José Luis],
Robust approach for disparity estimation in stereo vision,
IVC(22), No. 3, 1 March 2004, pp. 183-195.
WWW Version. 0402
Use Gauss-Markov model to aid in matching. BibRef

Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Matching Widely Separated Views Based on Affine Invariant Regions,
IJCV(59), No. 1, August 2004, pp. 61-85.
WWW Version. 0404
BibRef
Earlier:
Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions,
BMVC00(xx-yy).
PDF Version. 0009
See also Comparison of Affine Region Detectors, A. See also Omnidirectional Vision Based Topological Navigation. BibRef

Goedemé, T.[Toon], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Fast wide baseline matching for visual navigation,
CVPR04(I: 24-29).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Ferrari, V., Tuytelaars, T., Van Gool, L.J.,
Wide-baseline multiple-view correspondences,
CVPR03(I: 718-725).
IEEE Abstract. IEEE Top Reference. 0307
Integrate pairwise WBS matches in multi-view case. BibRef

Mindru, F., Tuytelaars, T., Moons, T., Van Gool, L.J.,
Invariant Color Features for Matching and Target Recognition,
Ascona01(35-46). Wide baseline stereo using regions. Adapt the region using invariants. 0201
BibRef

Strecha, C.[Christoph], Fransens, R.[Rik], Van Gool, L.J.[Luc J.],
Combined Depth and Outlier Estimation in Multi-View Stereo,
CVPR06(II: 2394-2401).
IEEE DOI Link 0606
BibRef
Earlier:
Wide-baseline stereo from multiple views: A probabilistic account,
CVPR04(I: 552-559).
IEEE Abstract. IEEE Top Reference. 0408
See also Optical flow based super-resolution: A probabilistic approach. BibRef

Strecha, C., Van Gool, L.J.,
PDE-based multi-view depth estimation,
3DPVT02(416-425).
IEEE DOI Link 0206
BibRef

Strecha, C., Tuytelaars, T., Van Gool, L.J.,
Dense matching of multiple wide-baseline views,
ICCV03(1194-1200).
IEEE DOI Link 0311
Integrate based on the confidence of each pairwise match. BibRef

Van Gool, L.J.[Luc J.], Tuytelaars, T.[Tinne], Ferrari, V., Strecha, C.[Christoph], vanden Wyngaerd, J.[Joris], Vergauwen, M.[Maarten],
3D Modeling and Registration Under Wide Baseline Conditions,
PCV02(A: 3). 0305
BibRef

Bay, H.[Herbert], Ferrari, V.[Vittorio], Van Gool, L.J.[Luc J.],
Wide-Baseline Stereo Matching with Line Segments,
CVPR05(I: 329-336).
IEEE DOI Link 0507
BibRef

Matas, J., Chum, O., Urban, M., Pajdla, T.,
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions,
IVC(22), No. 10, 1 September 2004, pp. 761-767.
WWW Version. 0409
BibRef
Earlier: BMVC02(3D and Video). 0208
See also Comparison of Affine Region Detectors, A. BibRef

Matas, J., Obdrzálek, S.[Stepán], Chum, O.,
Local affine frames for wide-baseline stereo,
ICPR02(IV: 363-366).
IEEE DOI Link 0211
See also Local Affine Frames for Image Retrieval. BibRef

Chum, O.[Ondrej], Pajdla, T.[Tomas], Sturm, P.F.[Peter F.],
The geometric error for homographies,
CVIU(97), No. 1, January 2005, pp. 86-102.
WWW Version. 0412
Find optimal point matches, for stereo and 3-D reconstruction. BibRef

Zhu, Q.[Qing], Zhao, J.[Jie], Lin, H.[Hui], Gong, J.Y.[Jian-Ya],
Triangulation of Well-Defined Points as a Constraint for Reliable Image Matching,
PhEngRS(71), No. 9, September 2005, pp. 1063-1070.
WWW Version. 0602
The reliability and accuracy of stereo image matching are improved by making use of the triangulation of well-defined points as a constraint. BibRef

Li, G.[Gang], Zucker, S.W.[Steven W.],
Contextual Inference in Contour-Based Stereo Correspondence,
IJCV(69), No. 1, August 2006, pp. 59-75.
Springer DOI Link 0606
BibRef
Earlier:
Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency,
EMMCVPR05(617-632).
Springer DOI Link 0601
BibRef
Earlier: A2, A1:
Geometry of contour-based correspondence for stereo,
3DPVT02(709-712).
IEEE DOI Link 0206
Expand the stereo matching ideas to allow for surface slants. BibRef

Li, G.[Gang], Zucker, S.W.[Steven W.],
Differential Geometric Consistency Extends Stereo to Curved Surfaces,
ECCV06(III: 44-57).
Springer DOI Link 0608
BibRef
Earlier:
Surface Geometric Constraints for Stereo in Belief Propagation,
CVPR06(II: 2355-2362).
IEEE DOI Link 0606
Use geometric info in stereo matching to deal with curved surfaces. Dealing with depth changes in the constraints used for matching. BibRef

Li, W.C.[Wan-Chiu], Leung, C.H., Hung, Y.S.,
Matching of uncalibrated stereo images by elastic deformation,
IJIST(14), No. 5, 2004, pp. 198-205.
WWW Version. 0412
BibRef

Vincent, E.[Etienne], Laganiere, R.[Robert],
Detecting and matching feature points,
JVCIR(16), No. 1, February 2005, pp. 38-54.
WWW Version. 0711
BibRef
Earlier:
Junction Matching and Fundamental Matrix Recovery in Widely Separated Views,
BMVC04(xx-yy).
HTML Version. 0508
Feature point; Corner detection; Feature-based matching; Widely separated view matching See also Models from image triplets using epipolar gradient features. BibRef

Laganiere, R., Vincent, E.,
Wedge-based corner model for widely separated views matching,
ICPR02(III: 672-675).
IEEE DOI Link 0211
BibRef

Bhatia, A.[Akshay], Laganiere, R.[Robert], Roth, G.[Gerhard],
Performance Evaluation of Scale-Interpolated Hessian-Laplace and Haar Descriptors for Feature Matching,
CIAP07(61-66).
IEEE DOI Link 0709
BibRef

Lepetit, V.[Vincent], Fua, P.[Pascal],
Keypoint Recognition Using Randomized Trees,
PAMI(28), No. 9, September 2006, pp. 1465-1479.
IEEE DOI Link 0608
BibRef

Calonder, M.[Michael], Lepetit, V.[Vincent], Fua, P.[Pascal],
Keypoint Signatures for Fast Learning and Recognition,
ECCV08(I: 58-71).
Springer DOI Link 0810
BibRef

Ozuysal, M.[Mustafa], Fua, P.[Pascal], Lepetit, V.[Vincent],
Fast Keypoint Recognition in Ten Lines of Code,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

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

Arce, E.[Edgar], Marroquín, J.L.[José Luis],
High-precision stereo disparity estimation using HMMF models,
IVC(25), No. 5, 1 May 2007, pp. 623-636.
WWW Version. 0703
Stereo correspondence; Disparity map; Image segmentation; Markov random fields; Bayesian method; Doubly stochastic prior model; Parametric disparity model; Subpixel disparity values; Occluded regions BibRef

Cheng, L.[Li], Caelli, T.M.[Terry M.],
Bayesian Stereo Matching,
CVIU(106), No. 1, April 2007, pp. 85-96.
WWW Version. 0704
BibRef
Earlier: GenModel04(192).
IEEE DOI Link 0406
Generative model; Stereo vision; Monte Carlo sampling; Bayesian analysis; Markov random field BibRef

Sarkar, I., Bansal, M.,
A Wavelet-Based Multiresolution Approach to Solve the Stereo Correspondence Problem Using Mutual Information,
SMC-B(37), No. 4, August 2007, pp. 1009-1014.
IEEE DOI Link 0707
BibRef

Tang, J.[Jun], Liang, D.[Dong], Wang, N.[Nian], Fan, Y.Z.[Yi Zheng],
A Laplacian spectral method for stereo correspondence,
PRL(28), No. 12, 1 September 2007, pp. 1391-1399.
WWW Version. 0707
Correspondence; Laplacian spectrum; Doubly stochastic matrix; Thin plate spline (TPS) BibRef

Su, J.B.[Jian-Bo], Chung, R.[Ronald], Jin, L.[Liang],
Homography-based partitioning of curved surface for stereo correspondence establishment,
PRL(28), No. 12, 1 September 2007, pp. 1459-1471.
WWW Version. 0707
Stereo vision; Curved scene; Feature correspondence; Planar homography; Error analysis BibRef

Elias, R.[Rimon],
Sparse view stereo matching,
PRL(28), No. 13, 1 October 2007, pp. 1667-1678.
WWW Version. 0709
BibRef
Earlier:
Wide baseline matching through homographic transformation,
ICPR04(IV: 130-133).
IEEE DOI Link 0409
Wide baseline matching; Sparse view matching; Point correspondences; Correlation; Homography; Homographic transformation BibRef

Elias, R.[Rimon],
Enhancing Sensor Measurements through Wide Baseline Stereo Images,
ELCVIA(7), No. 3, 2008, pp. xx-yy.
WWW Version. 0909
BibRef

Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Stereo matching using iterative reliable disparity map expansion in the color-spatial-disparity space,
PR(40), No. 12, December 2007, pp. 3705-3713.
WWW Version. 0709
BibRef
Earlier:
A New Stereo Matching Model Using Visibility Constraint Based on Disparity Consistency,
ACIVS06(598-609).
Springer DOI Link 0609
BibRef
And:
Stereo Matching Using Iterated Graph Cuts and Mean Shift Filtering,
ACCV06(I:31-40).
Springer DOI Link 0601
Stereo matching; Graph cuts; Mean shift procedure See also Shape from Shading Using Graph Cuts. BibRef

Heo, Y.S.[Yong Seok], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Mutual information-based stereo matching combined with SIFT descriptor in log-chromaticity color space,
CVPR09(445-452).
IEEE DOI Link 0906
BibRef

Kim, W.S.[Won-Sik], Park, J.Y.[Joon-Young], Lee, K.M.[Kyoung Mu],
Stereo Matching Using Population-Based MCMC,
IJCV(83), No. 2, June 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef
Earlier: A2, A1, A3: ACCV07(II: 560-569).
Springer DOI Link 0711
BibRef

Radhika, V.N., Kartikeyan, B., Krishna, B.G., Chowdhury, S., Srivastava, P.K.,
Robust Stereo Image Matching for Spaceborne Imagery,
GeoRS(45), No. 9, September 2007, pp. 2993-3000.
IEEE DOI Link 0710
BibRef

Hirschmuller, H.[Heiko],
Stereo Processing by Semiglobal Matching and Mutual Information,
PAMI(30), No. 2, February 2008, pp. 328-341.
IEEE DOI Link 0712
BibRef
Earlier:
Stereo Vision in Structured Environments by Consistent Semi-Global Matching,
CVPR06(II: 2386-2393).
IEEE DOI Link 0606
BibRef
Earlier:
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information,
CVPR05(II: 807-814).
IEEE DOI Link 0507
BibRef

Ernst, I.[Ines], Hirschmüller, H.[Heiko],
Mutual Information Based Semi-Global Stereo Matching on the GPU,
ISVC08(I: 228-239).
Springer DOI Link 0812
BibRef

Hirschmuller, H.[Heiko], Scharstein, D.[Daniel],
Evaluation of Stereo Matching Costs on Images with Radiometric Differences,
PAMI(31), No. 9, September 2009, pp. 1582-1599.
IEEE DOI Link 0907
Survey, Stereo Matching. BibRef
Earlier:
Evaluation of Cost Functions for Stereo Matching,
CVPR07(1-8).
IEEE DOI Link 0706
Evaluation w.r.t. radiometric changes. Pixel and window Bilateral Background Subtraction is among the best. Hierarchical Mutual Information (HMI) also good. BibRef

Hirschmuller, H.[Heiko], Gehrig, S.K.[Stefan K.],
Stereo matching in the presence of sub-pixel calibration errors,
CVPR09(437-444).
IEEE DOI Link 0906
BibRef

Xu, Z.L.[Zhi-Liang], Ma, L.Z.[Li-Zhuang], Kimachi, M.[Masatoshi], Suwa, M.[Masaki],
Efficient contrast invariant stereo correspondence using dynamic programming with vertical constraint,
VC(24), No. 1, January 2008, pp. 45-55.
Springer DOI Link 0712
BibRef

Zhu, Q.[Qing], Wu, B.[Bo], Tian, Y.[Yixiang],
Propagation strategies for stereo image matching based on the dynamic triangle constraint,
PandRS(62), No. 4, September 2007, pp. 295-308.
WWW Version. 0711
Matching propagation; Dynamic triangle constraint; Stochastic propagation; Adjacent propagation; Self-adaptive propagation BibRef

Ben-Ari, R.[Rami], Sochen, N.A.[Nir A.],
A Geometric Approach for Regularization of the Data Term in Stereo-Vision,
JMIV(31), No. 1, May 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef
Earlier:
Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling,
ICCV07(1-7).
IEEE DOI Link 0710
BibRef
Earlier:
Non-isotropic regularization of the correspondence space in stereo-vision,
ICPR04(IV: 293-296).
IEEE DOI Link 0409
BibRef

Liang, B.D.[Bo-Dong], Chung, R.[Ronald],
Viewpoint Determination of Image by Interpolation over Sparse Samples,
IVC(26), No. 7, 2 July 2008, pp. 941-954.
WWW Version. 0804
BibRef
Earlier: ACCV06(I:399-408).
Springer DOI Link 0601
Function interpolation; Viewpoint determination BibRef

Liang, B.D.[Bo-Dong], Chung, R.[Ronald],
Stereo Matching by Interpolation,
ACCV06(I:439-448).
Springer DOI Link 0601
BibRef

Gu, Z.[Zheng], Su, X.Y.[Xian-Yu], Liu, Y.K.[Yuan-Kun], Zhang, Q.C.[Qi-Can],
Local stereo matching with adaptive support-weight, rank transform and disparity calibration,
PRL(29), No. 9, 1 July 2008, pp. 1230-1235.
WWW Version. 0711
Stereo matching; Window-based; Disparity calibration BibRef

Son, T.T.[Tran Thai], Mita, S.[Seiichi],
Stereo Matching Algorithm Using a Simplified Trellis Diagram Iteratively and Bi-Directionally,
IEICE(E89-D), No. 1, January 2006, pp. 314-325.
WWW Version. 0601
BibRef

Evangelidis, G.D.[Georgios D.], Psarakis, E.Z.[Emmanouil Z.],
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization,
PAMI(30), No. 10, October 2008, pp. 1858-1865.
IEEE DOI Link 0810
BibRef
Earlier: A2, A1:
An Enhanced Correlation-Based Method for Stereo Correspondence with Sub-Pixel Accuracy,
ICCV05(I: 907-912).
IEEE DOI Link 0510
BibRef

Yoon, K.J.[Kuk-Jin], Kweon, I.S.[In So],
Distinctive Similarity Measure for stereo matching under point ambiguity,
CVIU(112), No. 2, November 2008, pp. 173-183.
WWW Version. 0811
BibRef
Earlier:
Stereo Matching with the Distinctive Similarity Measure,
ICCV07(1-7).
IEEE DOI Link 0710
BibRef
Earlier:
Stereo Matching with Symmetric Cost Functions,
CVPR06(II: 2371-2377).
IEEE DOI Link 0606
Stereo vision BibRef

Yang, Q.X.[Qing-Xiong], Wang, L.[Liang], Yang, R.G.[Rui-Gang], Stewénius, H.[Henrik], Nistér, D.[David],
Stereo Matching with Color-Weighted Correlation, Hierachical Belief Propagation and Occlusion Handling,
PAMI(31), No. 3, March 2009, pp. 492-504.
IEEE DOI Link 0902
BibRef
Earlier: CVPR06(II: 2347-2354).
IEEE DOI Link 0606
energy minimization global matching framework. With subpixel refinement. BibRef

Yang, Q.X.[Qing-Xiong], Wang, L.[Liang], Yang, R.G.[Rui-Gang],
Real-time Global Stereo Matching Using Hierarchical Belief Propagation,
BMVC06(III:989).
PDF Version. 0609
BibRef

Wang, L.[Liang], Jin, H.L.[Hai-Lin], Yang, R.G.[Rui-Gang],
Search Space Reduction for MRF Stereo,
ECCV08(I: 576-588).
Springer DOI Link 0810
BibRef

Xiong, W.[Wei], Chung, H.S.[Hin Shun], Jia, J.Y.[Jia-Ya],
Fractional Stereo Matching Using Expectation-Maximization,
PAMI(31), No. 3, March 2009, pp. 428-443.
IEEE DOI Link 0902
Foreground object boundary blends with background. Color is not sufficient. Fractional is fraction of area in area match. BibRef

Yu, W.R.[Wu-Rong], Xu, B.G.[Bu-Gao],
A sub-pixel stereo matching algorithm and its applications in fabric imaging,
MVA(20), No. 4, June 2009, pp. xx-yy.
Springer DOI Link 0904
Refinement based on correlation gradients. BibRef

Ancuti, C.[Cosmin], Ancuti, C.O.[Codruta Orniana], Bekaert, P.[Philippe],
An efficient two steps algorithm for wide baseline image matching,
VC(25), No. 5-7, May 2009, pp. xx-yy.
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Gerrits, M., Bekaert, P.,
Local Stereo Matching with Segmentation-based Outlier Rejection,
CRV06(66-66).
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Smith, B.M.[Brandon M.], Zhang, L.[Li], Jin, H.L.[Hai-Lin],
Stereo matching with nonparametric smoothness priors in feature space,
CVPR09(485-492).
IEEE DOI Link 0906
Each point as a feature vector, match point clouds. BibRef

Halawana, H.[Hachem], Macaire, L.[Ludovic], Cabestaing, F.[François],
Color Stereo Matching Cost Applied to CFA Images,
CCIW09(170-179).
Springer DOI Link 0903
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Min, D.B.[Dong-Bo], Oh, J.[Juhyun], Sohn, K.H.[Kwang-Hoon],
Asymmetric post-processing for stereo correspondence,
ICPR08(1-4).
IEEE DOI Link 0812
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Shen, R.[Rui], Cheng, I.[Irene], Li, X.B.[Xiao-Bo], Basu, A.[Anup],
Stereo matching using random walks,
ICPR08(1-4).
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Somanath, G.[Gowri], Rohith, M.V., Metaxas, D.N.[Dmitris N.], Kambhamettu, C.[Chandra],
D-Clutter: Building object model library from unsupervised segmentation of cluttered scenes,
CVPR09(2783-2789).
IEEE DOI Link 0906
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Rohith, M.V., Somanath, G.[Gowri], Kambhamettu, C.[Chandra], Geiger, C.[Cathleen],
Towards estimation of dense disparities from stereo images containing large textureless regions,
ICPR08(1-5).
IEEE DOI Link 0812
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Gherardi, R.[Riccardo],
Confidence-based cost modulation for stereo matching,
ICPR08(1-4).
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Zhang, Y.L.[Yi-Lei], Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Local stereo matching with 3D adaptive cost aggregation for slanted surface modeling and sub-pixel accuracy,
ICPR08(1-4).
IEEE DOI Link 0812
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Donate, A.[Arturo], Wang, Y.[Ying], Liu, X.W.[Xiu-Wen], Collins, E.[Emmanuel],
Efficient and accurate subpixel path based stereo matching,
ICPR08(1-4).
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Narasimha, R.[Ramya], Arnaud, E.[Elise], Forbes, F.[Florence], Horaud, R.[Radu],
Cooperative disparity and object boundary estimation,
ICIP08(1784-1787).
IEEE DOI Link 0810
Combine in markovian framework. BibRef

Elaksher, A.F.[Ahmed F.], Alharthy, A.L.A.[Abdel-Latif A.],
Matching Conjugate Points between Multi Resolution Satellite Images Using Geometric and Radiometric Properties,
ISPRS08(B3b: 49 ff).
PDF Version. 0807
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Bleyer, M.[Michael], Chambon, S.[Sylvie], Poppe, U.[Uta], Gelautz, M.[Margrit],
Evaluation of Different Methods for Using Colour Information in Global Stereo Matching Approaches,
ISPRS08(B3a: 63 ff).
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Mayer, H.[Helmut],
Issues for Image Matching in Structure from Motion,
ISPRS08(B3a: 21 ff).
PDF Version. 0807
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Silveira, M.T., Feitosa, R.Q., Jacobsen, K., Brito, J.L.N.S., eckel, Y.,
A Hybrid Method for Stereo Image Matching,
ISPRS08(B1: 895 ff).
PDF Version. 0807
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Neilson, D.[Daniel], Yang, Y.H.[Yee-Hong],
Evaluation of constructable match cost measures for stereo correspondence using cluster ranking,
CVPR08(1-8).
IEEE DOI Link 0806
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Chai, D.F.[Deng-Feng], Peng, Q.S.[Qun-Sheng],
Bilayer Stereo Matching,
ICCV07(1-8).
IEEE DOI Link 0710
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Zureiki, A.[Ayman], Devy, M.[Michel], Chatila, R.[Raja],
Stereo Matching using Reduced-Graph Cuts,
ICIP07(I: 237-240).
IEEE DOI Link 0709
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Su, X.Y.[Xiao-Yuan], Khoshgoftaar, T.M.[Taghi M.],
Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm,
ICIP07(VI: 556-559).
IEEE DOI Link 0709
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Su, X.Y.[Xiao-Yuan], Khoshgoftaar, T.M.[Taghi M.],
A Progressive Edge-Based Stereo Correspondence Method,
ISVC07(I: 248-257).
Springer DOI Link 0711
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Simhadri, V.[Vikram], Chandramani, P.[Premanand], Ozturk, Y.[Yusuf],
RASCor: Realtime Associative Stereo Correspondence,
ICIP07(VI: 197-200).
IEEE DOI Link 0709
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Sarkis, M.[Michel], Diepold, K.[Klaus],
Sparse stereo matching using belief propagation,
ICIP08(1780-1783).
IEEE DOI Link 0810
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Sarkis, M.[Michel], Dörfler, N.[Nikolas], Diepold, K.[Klaus],
Fast Adaptive Graph-Cuts Based Stereo Matching,
ACIVS07(818-827).
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Li, P.[Ping], Farin, D.[Dirk], Gunnewiek, R.K.[Rene Klein], de With, P.H.N.[Peter H. N.],
Texture-Independent Feature-Point Matching (TIFM) from Motion Coherence,
ACCV07(I: 789-799).
Springer DOI Link 0711
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And:
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines,
ACIVS07(427-438).
Springer DOI Link 0708
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Oh, J.D.[Jong Dae], Ma, S.W.[Si-Wei], Kuo, C.C.J.[C.C. Jay],
Stereo Matching via Disparity Estimation and Surface Modeling,
CVPR07(1-8).
IEEE DOI Link 0706
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Kostliva, J.[Jana], Cech, J.[Jan], Sara, R.[Radim],
Feasibility Boundary in Dense and Semi-Dense Stereo Matching,
BenCOS07(1-8).
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Cech, J.[Jan], Sara, R.[Radim],
Efficient Sampling of Disparity Space for Fast And Accurate Matching,
BenCOS07(1-8).
IEEE DOI Link 0706
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Boyer, A.[Alain], Curtis, P.[Phillip], Payeur, P.[Pierre],
3D Modeling from Multiple Views with Integrated Registration and Data Fusion,
CRV09(252-259).
IEEE DOI Link 0905
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Payeur, P.[Pierre], Desjardins, D.[Danick],
Structured Light Stereoscopic Imaging with Dynamic Pseudo-random Patterns,
ICIAR09(687-696).
Springer DOI Link 0907
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Earlier: A2, A1:
Dense Stereo Range Sensing with Marching Pseudo-Random Patterns,
CRV07(216-226).
IEEE DOI Link 0705
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Munguía, R.[Rodrigo], Grau, A.[Antoni],
Learning Variability of Image Feature Appearance Using Statistical Methods,
CIARP06(716-725).
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Wide baseline stereo matching in robot context. BibRef

Sorgi, L.[Lorenzo],
Partial Overlap Stereo,
3DTV07(1-4).
IEEE DOI Link 0705
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Sorgi, L.[Lorenzo], Neri, A.,
Bidirectional Dynamic Programming for Stereo Matching,
ICIP06(1013-1016). 0610

IEEE DOI Link BibRef

Colletto, F., Marcon, M., Sarti, A., Tubaro, S.,
A Robust Method for the Estimation of Reliable Wide Baseline Correspondences,
ICIP06(1041-1044). 0610

IEEE DOI Link BibRef

Petran, V., Merat, F.,
Stereoscopic Correspondence without Continuity Assumptions,
Southwest06(21-25).
IEEE DOI Link 0603
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Mozerov, M.[Mikhail],
An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation,
DAGM06(617-626).
Springer DOI Link 0610
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Aydin, T.[Tarkan], Akgul, Y.S.[Yusuf Sinan],
A Stereo Depth Recovery Method Using Layered Representation of the Scene,
DAGM09(322-331).
Springer DOI Link 0909
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Earlier:
3D Structure Recovery From Stereo Using Synchronous Optimization Processes,
BMVC06(III:1179).
PDF Version. 0609
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Vural, U.[Ulas], Akgul, Y.S.[Yusuf Sinan],
A Multiple Graph Cut Based Approach for Stereo Analysis,
DAGM06(677-687).
Springer DOI Link 0610
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Lu, X., Manduchi, R.,
A New Structural Constraint and its Application in Wide Baseline Matching,
ICPR06(I: 84-89).
WWW Version. 0609
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Agarwal., A., Blake, A.,
The Panum Proxy Algorithm for Dense Stereo Matching over a Volume of Interest,
CVPR06(II: 2339-2346).
IEEE DOI Link 0606
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Sasaki, K.[Kan'ya], Kameda, S.[Seiji], Iwata, A.[Atsushi],
Stereo Matching Algorithm Using a Weighted Average of Costs Aggregated by Various Window Sizes,
ACCV06(II:771-780).
Springer DOI Link 0601
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Gimel'farb, G.[Georgy], Li, J.[Jiang], Morris, J.[John], Delmas, P.[Patrice],
Concurrent Stereo under Photometric Image Distortions,
ICPR06(I: 111-114).
WWW Version. 0609
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Morris, J.[John], Gimel'farb, G.[Georgy], Liu, J.[Jiang], Delmas, P.[Patrice],
Concurrent Stereo Matching: An Image Noise-Driven Model,
EMMCVPR05(46-59).
Springer DOI Link 0601
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Meltzer, T.[Talya], Yanover, C.[Chen], Weiss, Y.[Yair],
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation,
ICCV05(I: 428-435).
IEEE DOI Link 0510
Find the global optimum (generally NP complete) in 30 minutes using belief propogation approach. BibRef

Nomura, A.[Atsushi], Ichikawa, M.[Makoto], Miike, H.[Hidetoshi],
Reaction-diffusion algorithm for stereo disparity detection,
MVA(20), No. 3, April 2009, pp. xx-yy.
Springer DOI Link 0903
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Earlier:
Stereo Vision System with the Grouping Process of Multiple Reaction-Diffusion Models,
IbPRIA05(I:137).
Springer DOI Link 0509
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Kong, D., Tao, H.,
Stereo Matching via Learning Multiple Experts Behaviors,
BMVC06(I:97).
PDF Version. 0609
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Earlier:
A method for learning matching errors for stereo computation,
BMVC04(xx-yy).
HTML Version. 0508
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Steele, K.L.[Kevin L.], Egbert, P.K.[Parris K.], Morse, B.S.[Bryan S.],
Histogram Matching for Camera Pose Neighbor Selection,
3DPVT06(153-160).
IEEE DOI Link 0606
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Steele, K.L.[Kevin L.], Egbert, P.K.[Parris K.],
Minimum Spanning Tree Pose Estimation,
3DPVT06(440-447).
IEEE DOI Link 0606
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Steele, K.L.[Kevin L.], Egbert, P.K.[Parris K.],
Correspondence Expansion for Wide Baseline Stereo,
CVPR05(I: 1055-1062).
IEEE DOI Link 0507
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Han, D.I.[Dong-Il], Hwang, D.H.[Dae-Hwan],
A Novel Stereo Matching Method for Wide Disparity Range Detection,
ICIAR05(643-650).
Springer DOI Link 0509
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Ahlvers, U., Zoelzer, U.,
Improvement of phase-based algorithms for disparity estimation by means of magnitude information,
ICIP04(V: 3025-3028).
IEEE DOI Link 0505
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Ahlvers, U.[Udo], Zoelzer, U.[Udo], Rechmeier, S.[Stefan],
FFT-Based Disparity Estimation for Stereo Image Coding,
DAGM03(257-264).
HTML Version. 0310
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And: ICIP03(I: 761-764).
IEEE Abstract. IEEE Top Reference. 0312
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Jodoin, P.M., Mignotte, M.,
An energy-based framework using global spatial constraints for the stereo correspondence problem,
ICIP04(V: 3001-3004).
IEEE DOI Link 0505
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Jagmohan, A., Singh, M., Ahuja, N.,
Dense stereo matching using kernel maximum likelihood estimation,
ICPR04(III: 28-31).
IEEE DOI Link 0409
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Kostkova, J., Sara, R.,
Stratified Dense Matching for Stereopsis in Complex Scenes,
BMVC03(xx-yy).
HTML Version. 0409
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Baseski, E.[Emre], Pugeault, N.[Nicolas], Kalkan, S.[Sinan], Kraft, D.[Dirk], Worgotter, F.[Florentin], Kruger, N.[Norbert],
A Scene Representation Based on Multi-Modal 2D and 3D Features,
ICCV07(1-7).
IEEE DOI Link 0710
See also Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation. BibRef

Pugeault, N.[Nicolas], Worgotter, F.[Florentin], Kruger, N.[Norbert],
Multi-modal Scene Reconstruction using Perceptual Grouping Constraints,
PercOrg06(195).
IEEE DOI Link 0609
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Pugeault, N.[Nicolas], Kruger, N.[Norbert],
Multi-Modal Matching Applied to Stereo,
BMVC03(xx-yy).
HTML Version. 0409
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Tsin, Y., Kanade, T.,
A correlation-based model prior for stereo,
CVPR04(I: 135-142).
IEEE Abstract. IEEE Top Reference. 0408
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Xiao, J.J.[Jiang-Jian], Shah, M.[Mubarak],
Two-frame wide baseline matching,
ICCV03(603-609).
IEEE DOI Link 0311
recover matches and epi-polar geometry, use edge-corners. BibRef

Veksler, O.,
Fast variable window for stereo correspondence using integral images,
CVPR03(I: 556-561).
IEEE Abstract. IEEE Top Reference. 0307
Speed of approach is due to the integral image technique, which allows computation of our window cost over any rectangular window in constant time, regardless of window size. BibRef

Kostousov, V.B.[Victor B.], Molochnikov, I.L.[Ilya L.],
Flexible Net Approach for Stereo Matching,
PCV02(B: 126). 0305
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Oda, K.[Kazuo], Doihara, T.[Takeshi], Shibasaki, R.[Ryosuke],
Stereo Plane Matching Technique,
PCV02(A: 228). 0305
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Xu, Y.H.[Yi-Hua], Wang, D.S.[Dong-Sheng], Feng, T.[Tao], Shum, H.Y.[Heung-Yeung],
Stereo computation using radial adaptive windows,
ICPR02(III: 595-598).
IEEE DOI Link 0211
BibRef