10.1.10 Matching Issues for Stereo

Chapter Contents (Back)
Stereo, Matching. Matching. See also Matching for Stereo, Varying Illumination, Radiometric Changes. See also Matching for Stereo, Correlation. See also Multi-Scale Matching for Stereo.

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 DOI 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 Link. BibRef 9411

Chan, K.L.[Kap-Luk],
Machine vision stereo matching,
US_Patent5,432,712, Jul 11, 1995
WWW Link. 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 Link. 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 Link. 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 Link. 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. 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 Link. 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.
Elsevier DOI 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 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 DOI BibRef 9603
Earlier:
An Accurate Stereo Correspondence Method for Textured Scenes Using Improved Power Cepstrum Techniques,
CVPR93(651-652).
IEEE DOI 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 Link. 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.
DOI Link 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 File. 9209
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 DOI 0301
BibRef
Earlier: ECCV00(II: 819-833).
Springer DOI 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. 0307
BibRef
Earlier: A1, A3, A2: ECCV02(II: 510 ff.).
Springer DOI 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.
Elsevier DOI 0402
Use Gauss-Markov model to aid in matching. 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 Link. 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 Link. 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 0606
BibRef
Earlier:
Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency,
EMMCVPR05(617-632).
Springer DOI 0601
BibRef
Earlier: A2, A1:
Geometry of contour-based correspondence for stereo,
3DPVT02(709-712).
IEEE DOI 0206
Expand the stereo matching ideas to allow for surface slants. BibRef

Li, G.[Gang], Genc, Y.[Yakup], Zucker, S.W.[Steven W.],
Multi-View Edge-based Stereo by Incorporating Spatial Coherence,
3DIM07(341-348).
IEEE DOI 0708
BibRef

Li, G.[Gang], Zucker, S.W.[Steven W.],
Differential Geometric Inference in Surface Stereo,
PAMI(32), No. 1, January 2010, pp. 72-86.
IEEE DOI 0912
BibRef
Earlier:
Differential Geometric Consistency Extends Stereo to Curved Surfaces,
ECCV06(III: 44-57).
Springer DOI 0608
BibRef
Earlier:
Surface Geometric Constraints for Stereo in Belief Propagation,
CVPR06(II: 2355-2362).
IEEE DOI 0606
Use geometric info in stereo matching to deal with curved surfaces. Dealing with depth changes in the constraints used for matching. Address errors from assuming frontal parallel. Use context to avoid such errors. And partial occlusions. 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.
DOI Link 0412
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 Link. 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 Link. 0704
BibRef
Earlier: GenModel04(192).
IEEE DOI 0406
Generative model; Stereo vision; Monte Carlo sampling; Bayesian analysis; Markov random field 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 Link. 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 Link. 0707
Stereo vision; Curved scene; Feature correspondence; Planar homography; Error analysis 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 0710
BibRef

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

Ernst, I.[Ines], Hirschmüller, H.[Heiko],
Mutual Information Based Semi-Global Stereo Matching on the GPU,
ISVC08(I: 228-239).
Springer DOI 0812
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 Link. 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 0804
BibRef
Earlier:
Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling,
ICCV07(1-7).
IEEE DOI 0710
BibRef
Earlier:
Non-isotropic regularization of the correspondence space in stereo-vision,
ICPR04(IV: 293-296).
IEEE DOI 0409
BibRef

Ben-Ari, R.[Rami], Sochen, N.A.[Nir A.],
Stereo Matching with Mumford-Shah Regularization and Occlusion Handling,
PAMI(32), No. 11, November 2010, pp. 2071-2084.
IEEE DOI 1011
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. 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 Link. 0804
BibRef
Earlier: ACCV06(I:399-408).
Springer DOI 0601
BibRef
And:
Stereo Matching by Interpolation,
ACCV06(I:439-448).
Springer DOI 0601
Function interpolation; Viewpoint determination 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 Link. 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.
DOI Link 0601
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 Link. 0811
BibRef
Earlier:
Stereo Matching with the Distinctive Similarity Measure,
ICCV07(1-7).
IEEE DOI 0710
BibRef
Earlier:
Stereo Matching with Symmetric Cost Functions,
CVPR06(II: 2371-2377).
IEEE DOI 0606
Stereo vision For Code: See also Bilaterally Weighted Patches for Disparity Map Computation. For a variation: See also Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid. BibRef

Yoon, K.J.,
Stereo matching based on nonlinear diffusion with disparity-dependent support weights,
IET-CV(6), No. 4, 2012, pp. 306-313.
DOI Link 1209
BibRef

Yoon, K.J.[Kuk-Jin], Jeong, Y.[Yekeun], Kweon, I.S.[In So],
Support Aggregation via Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching,
ACCV09(I: 25-36).
Springer DOI 0909
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 0902
Foreground object boundary blends with background. Color is not sufficient. Fractional is fraction of area in area match. 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 0903
BibRef
Earlier:
Stereo Vision System with the Grouping Process of Multiple Reaction-Diffusion Models,
IbPRIA05(I:137).
Springer DOI 0509
BibRef

Nomura, A.[Atsushi], Ichikawa, M.[Makoto], Okada, K.[Koichi], Miike, H.[Hidetoshi],
Long-Range Inhibition in Reaction-Diffusion Algorithms Designed for Edge Detection and Stereo Disparity Detection,
ACIVS10(I: 185-196).
Springer DOI 1012
BibRef

Agarwal, A.[Ankur], Blake, A.[Andrew],
Dense Stereo Matching over the Panum Band,
PAMI(32), No. 3, March 2010, pp. 416-430.
IEEE DOI 1002
BibRef
Earlier:
The Panum Proxy Algorithm for Dense Stereo Matching over a Volume of Interest,
CVPR06(II: 2339-2346).
IEEE DOI 0606
Panum Band: human stereo works over a narrow band of disparities. Using narrower range of disparities improves computation times. BibRef

Coffman, T.R.[Thayne R.], Bovik, A.C.[Alan C.],
Efficient Stereoscopic Ranging via Stochastic Sampling of Match Quality,
IP(19), No. 2, February 2010, pp. 451-460.
IEEE DOI 1002
BibRef
And:
Multi-view stereo ranging via Distributed Ray Tracing,
Southwest10(161-164).
IEEE DOI 1005
BibRef

Min, D.B.[Dong-Bo], Sohn, K.H.[Kwang-Hoon],
An asymmetric post-processing for correspondence problem,
SP:IC(25), No. 2, February 2010, pp. 130-142.
Elsevier DOI 1003
Adaptive filtering; Asymmetric consistency check; Post-processing; Stereo matching BibRef

Min, D.B.[Dong-Bo], Oh, J.[Juhyun], Sohn, K.H.[Kwang-Hoon],
Asymmetric post-processing for stereo correspondence,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Nalpantidis, L.[Lazaros], Gasteratos, A.[Antonios],
Stereo vision for robotic applications in the presence of non-ideal lighting conditions,
IVC(28), No. 6, June 2010, pp. 940-951.
Elsevier DOI 1003
Stereo vision; Disparity map; Gestalt laws; HSL color space; Luminosity non-uniformity compensation Deal with illumination changes due to viewpoint. Adaptive Support Weight. BibRef

Oh, J.D.[Jong Dae], Kuo, C.C.J.[C.C. Jay],
Robust stereo matching with improved graph and surface models and occlusion handling,
JVCIR(21), No. 5-6, July-August 2010, pp. 404-415.
Elsevier DOI 1007
Stereo matching; Graph model; Occlusion; Disparity estimation; Surface modeling; Ordering constraint; Color segmentation constraint; Disparity filling BibRef

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 0706
BibRef

Barrois, B.[Bjorn], Konrad, M.[Marcus], Wohler, C.[Christian], Gross, H.M.[Horst-Michael],
Resolving stereo matching errors due to repetitive structures using model information,
PRL(31), No. 12, 1 September 2010, pp. 1683-1692.
Elsevier DOI 1008
Stereo vision; Correspondence analysis; Model-based 3D scene analysis BibRef

Aydin, T.[Tarkan], Akgul, Y.S.[Yusuf Sinan],
Stereo depth estimation using synchronous optimization with segment based regularization,
PRL(31), No. 15, 1 November 2010, pp. 2389-2396.
Elsevier DOI 1003
BibRef
Earlier:
A Stereo Depth Recovery Method Using Layered Representation of the Scene,
DAGM09(322-331).
Springer DOI 0909
BibRef
Earlier:
3D Structure Recovery From Stereo Using Synchronous Optimization Processes,
BMVC06(III:1179).
PDF File. 0609
Stereo; Optimization; Segment based regularization; Anisotropic smoothing BibRef

Vural, U.[Ulas], Akgul, Y.S.[Yusuf Sinan],
A Multiple Graph Cut Based Approach for Stereo Analysis,
DAGM06(677-687).
Springer DOI 0610
BibRef

Donate, A.[Arturo], Liu, X.W.[Xiu-Wen], Collins, E.G.[Emmanuel G.],
Efficient Path-Based Stereo Matching With Subpixel Accuracy,
SMC-B(41), No. 1, February 2011, pp. 183-195.
IEEE DOI 1102
BibRef

Donate, A.[Arturo], Wang, Y.[Ying], Liu, X.W.[Xiu-Wen], Collins, E.G.[Emmanuel G.],
Efficient and accurate subpixel path based stereo matching,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Sabater, N.[Neus], Almansa, A.[Andrés], Morel, J.M.[Jean-Michel],
Meaningful Matches in Stereovision,
PAMI(34), No. 5, May 2012, pp. 930-942.
IEEE DOI 1204
Decide whether 2 blocks match reliably based on statistics of the image itself. Cannot rule out periodic structures. BibRef

Sabater, N.[Neus], Morel, J.M.[Jean-Michel], Almansa, A.[Andrés],
How Accurate Can Block Matches Be In Stereo Vision?,
SIIMS(4), No. 1, 2011, pp. 472-500.
DOI Link 1106
block-matching; subpixel accuracy; noise error estimate BibRef

Sabater, N.[Neus], Seifi, M.[Mozhdeh], Drazic, V.[Valter], Sandri, G.[Gustavo], Pérez, P.[Patrick],
Accurate Disparity Estimation for Plenoptic Images,
LightField14(548-560).
Springer DOI 1504
BibRef

Ghazouani, H.[Haythem], Tagina, M.[Moncef], Zapata, R.[René],
Fast and robust semi-local stereo matching using possibility distributions,
IJCVR(2), No. 3, 2011, pp. 237-253.
DOI Link 1110
BibRef

Neilson, D.[Daniel], Yang, Y.H.[Yee-Hong],
A Component-Wise Analysis of Constructible Match Cost Functions for Global Stereopsis,
PAMI(33), No. 11, November 2011, pp. 2147-2159.
IEEE DOI 1110
BibRef
Earlier:
Evaluation of constructable match cost measures for stereo correspondence using cluster ranking,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Zhang, K.[Ke], Lafruit, G.[Gauthier], Lauwereins, R.[Rudy], Van Gool, L.J.[Luc J.],
Constant Time Joint Bilateral Filtering Using Joint Integral Histograms,
IP(21), No. 9, September 2012, pp. 4309-4314.
IEEE DOI 1208
BibRef
Earlier:
Joint integral histograms and its application in stereo matching,
ICIP10(817-820).
IEEE DOI 1009
BibRef

Bethmann, F.[Folkmar], Luhmann, T.[Thomas],
Least-squares Matching with Advanced Geometric Transformation Models,
PFG(2011), No. 2, 2011, pp. 57-69.
WWW Link. 1211
BibRef
Earlier: CloseRange10(xx-yy).
PDF File. 1006
BibRef

Bethmann, F.[Folkmar], Luhmann, T.[Thomas],
Semi-Global Matching in Object Space,
PIA15(23-30).
DOI Link 1504
BibRef
Earlier:
Object-based Multi-Image Semi-Global Matching: Concept and first results,
CloseRange14(93-100).
DOI Link 1411
BibRef

Jepping, C., Bethmann, F.[Folkmar], Luhmann, T.[Thomas],
Congruence analysis of point clouds from unstable stereo image sequences,
CloseRange14(301-306).
DOI Link 1411
BibRef

Hosni, A.[Asmaa], Rhemann, C.[Christoph], Bleyer, M.[Michael], Rother, C.[Carsten], Gelautz, M.[Margrit],
Fast Cost-Volume Filtering for Visual Correspondence and Beyond,
PAMI(35), No. 2, February 2013, pp. 504-511.
IEEE DOI 1301
BibRef
Earlier: A2, A1, A3, A4, A5: CVPR11(3017-3024).
IEEE DOI 1106
Code, Stereo Matching. Matlab Code:
WWW Link. Code: See also Stereo Disparity through Cost Aggregation with Guided Filter. BibRef

Hosni, A.[Asmaa], Bleyer, M.[Michael], Gelautz, M.[Margrit],
Secrets of adaptive support weight techniques for local stereo matching,
CVIU(117), No. 6, June 2013, pp. 620-632.
Elsevier DOI 1304
BibRef
Earlier: A1, A3, A2:
Accuracy-efficiency Evaluation of Adaptive Support Weight Techniques for Local Stereo Matching,
DAGM12(337-346).
Springer DOI 1209
Local stereo matching; Adaptive support weights; Evaluation study See also Near Real-Time Stereo With Adaptive Support Weight Approaches. BibRef

Hosni, A.[Asmaa], Bleyer, M.[Michael], Gelautz, M.[Margrit],
Near Real-Time Stereo With Adaptive Support Weight Approaches,
3DPVT10(xx-yy).
PDF File. 1005
See also Accuracy-efficiency Evaluation of Adaptive Support Weight Techniques for Local Stereo Matching. BibRef

Hosni, A.[Asmaa], Bleyer, M.[Michael], Gelautz, M.[Margrit], Rhemann, C.[Christoph],
Local stereo matching using geodesic support weights,
ICIP09(2093-2096).
IEEE DOI 0911
BibRef

Da, F.P.[Fei-Peng], He, F.[Fu], Chen, Z.W.[Zhang-Wen],
Stereo Matching Based on Dissimilar Intensity Support and Belief Propagation,
JMIV(47), No. 1-2, September 2013, pp. 27-34.
WWW Link. 1307
BibRef
Earlier: A2, A1, Only:
Belief propagation with local edge detection-based cost aggregation for stereo matching,
ICIP11(2373-2376).
IEEE DOI 1201
BibRef

Pham, C.C.[Cuong Cao], Jeon, J.W.[Jae Wook],
Domain Transformation-Based Efficient Cost Aggregation for Local Stereo Matching,
CirSysVideo(23), No. 7, 2013, pp. 1119-1130.
IEEE DOI 1307
computational complexity BibRef

Lee, Z.C.[Zu-Cheul], Juang, J., Nguyen, T.Q.,
Local Disparity Estimation With Three-Moded Cross Census and Advanced Support Weight,
MultMed(15), No. 8, December 2013, pp. 1855-1864.
IEEE DOI 1402
computational complexity BibRef

Lee, Z.C.[Zu-Cheul], Nguyen, T.Q.,
Multi-Array Camera Disparity Enhancement,
MultMed(16), No. 8, December 2014, pp. 2168-2177.
IEEE DOI 1502
cameras BibRef

Yang, M.L.[Meng-Long], Liu, Y.G.[Yi-Guang], You, Z.S.[Zhi-Sheng], Li, X.F.[Xiao-Feng], Zhang, Y.[Yi],
A homography transform based higher-order MRF model for stereo matching,
PRL(40), No. 1, 2014, pp. 66-71.
Elsevier DOI 1403
Stereo matching BibRef

Nguyen, V.D.[Vinh Dinh], Nguyen, D.D.[Dung Duc], Nguyen, T.T.[Thuy Tuong], Dinh, V.Q.[Vinh Quang], Jeon, J.W.[Jae Wook],
Support Local Pattern and its Application to Disparity Improvement and Texture Classification,
CirSysVideo(24), No. 2, February 2014, pp. 263-276.
IEEE DOI 1403
Gaussian noise BibRef

Jain, A.K., Nguyen, T.Q.,
Discriminability Limits in Spatio-Temporal Stereo Block Matching,
IP(23), No. 5, May 2014, pp. 2328-2342.
IEEE DOI 1405
Cameras BibRef

Tan, P.[Pauline], Monasse, P.[Pascal],
Stereo Disparity through Cost Aggregation with Guided Filter,
IPOL(2014), No. 2014, pp. 252-275.
DOI Link 1411
Code, Stereo Matching. See also Fast Cost-Volume Filtering for Visual Correspondence and Beyond. BibRef

Tan, X.[Xiao], Sun, C.M.[Chang-Ming], Sirault, X.[Xavier], Furbank, R.[Robert], Pham, T.D.[Tuan D.],
Stereo matching using cost volume watershed and region merging,
SP:IC(29), No. 10, 2014, pp. 1232-1244.
Elsevier DOI 1411
BibRef
Earlier:
Cross Image Inference Scheme for Stereo Matching,
ACCV12(IV:217-230).
Springer DOI 1304
3D/stereo scene analysis BibRef

Tan, X.[Xiao], Sun, C.M.[Chang-Ming], Pham, T.D.[Tuan D.],
Stereo matching based on multi-direction polynomial model,
SP:IC(44), No. 1, 2016, pp. 44-56.
Elsevier DOI 1605
Stereo matching BibRef

Tan, X.[Xiao], Sun, C.M.[Chang-Ming], Sirault, X.[Xavier], Furbank, R.[Robert], Pham, T.D.[Tuan D.],
Feature matching in stereo images encouraging uniform spatial distribution,
PR(48), No. 8, 2015, pp. 2530-2542.
Elsevier DOI 1505
3D/stereo scene analysis BibRef

Nguyen, V.D.[Vinh Dinh], Nguyen, D.D.[Duc Dung], Lee, S.J.[Sang Jun], Jeon, J.W.[Jae Wook],
Local Density Encoding for Robust Stereo Matching,
CirSysVideo(24), No. 12, December 2014, pp. 2049-2062.
IEEE DOI 1412
image matching BibRef

Dinh, V.Q.[Vinh Quang], Nguyen, V.D.[Vinh Dinh], Jeon, J.W.[Jae Wook],
Robust Matching Cost Function for Stereo Correspondence Using Matching by Tone Mapping and Adaptive Orthogonal Integral Image,
IP(24), No. 12, December 2015, pp. 5416-5431.
IEEE DOI 1512
image matching BibRef

Dinh, V.Q.[Vinh Quang], Nguyen, V.D.[Vinh Dinh], Nguyen, H.V.[H. Van], Jeon, J.W.[Jae Wook],
Fuzzy Encoding Pattern for Stereo Matching Cost,
CirSysVideo(26), No. 7, July 2016, pp. 1215-1228.
IEEE DOI 1608
fuzzy set theory BibRef

Mozerov, M.G., van de Weijer, J.,
Accurate Stereo Matching by Two-Step Energy Minimization,
IP(24), No. 3, March 2015, pp. 1153-1163.
IEEE DOI 1502
Computational modeling BibRef

Mozerov, M.G., van de Weijer, J.,
Global Color Sparseness and a Local Statistics Prior for Fast Bilateral Filtering,
IP(24), No. 12, December 2015, pp. 5842-5853.
IEEE DOI 1512
approximation theory BibRef

Jiao, J.B.[Jian-Bo], Wang, R.G.[Rong-Gang], Wang, W.M.[Wen-Min], Dong, S.F.[Sheng-Fu], Wang, Z.Y.[Zhen-Yu], Gao, W.[Wen],
Local Stereo Matching with Improved Matching Cost and Disparity Refinement,
MultMedMag(21), No. 4, October 2014, pp. 16-27.
IEEE DOI 1502
filtering theory BibRef

Yaman, M.[Mustafa], Kalkan, S.[Sinan],
An iterative adaptive multi-modal stereo-vision method using mutual information,
JVCIR(26), No. 1, 2015, pp. 115-131.
Elsevier DOI 1502
Multi-modal stereo-vision BibRef

Zhang, K.[Ka], Sheng, Y.[Yehua], Lv, H.[Haiyang],
Stereo matching cost computation based on nonsubsampled contourlet transform,
JVCIR(26), No. 1, 2015, pp. 275-283.
Elsevier DOI 1502
Stereo image matching BibRef

Yang, Q.,
Local Smoothness Enforced Cost Volume Regularization for Fast Stereo Correspondence,
SPLetters(22), No. 9, September 2015, pp. 1429-1433.
IEEE DOI 1503
Accuracy BibRef

Juliŕ, L.F.[Laura Fernández], Monasse, P.[Pascal],
Bilaterally Weighted Patches for Disparity Map Computation,
IPOL(5), 2015, pp. 73-89.
DOI Link 1503
Code, Stereo Matching. Based on: See also Distinctive Similarity Measure for stereo matching under point ambiguity. See also Stereo Disparity through Cost Aggregation with Guided Filter. BibRef

Saygili, G.[Gorkem], van der Maaten, L.[Laurens], Hendriks, E.A.[Emile A.],
Adaptive stereo similarity fusion using confidence measures,
CVIU(135), No. 1, 2015, pp. 95-108.
Elsevier DOI 1504
BibRef
Earlier:
Stereo Similarity Metric Fusion Using Stereo Confidence,
ICPR14(2161-2166)
IEEE DOI 1412
Accuracy; Estimation; Fuses; Robustness; Stereo vision; Weight measurement Stereo confidence measures. BibRef

Lee, S.[Sehyung], Lee, J.H.[Jin Han], Lim, J.W.[Jong-Woo], Suh, I.H.[Il Hong],
Robust stereo matching using adaptive random walk with restart algorithm,
IVC(37), No. 1, 2015, pp. 1-11.
Elsevier DOI 1505
Global optimization BibRef

Liang, J.[Jun], Maybank, S.J.[Stephen J.], Zhang, Y.N.[Yan-Ning],
Stereo matching-based definition of saliency via sample-based Kullback-Leibler divergence estimation,
MVA(26), No. 5, July 2015, pp. 607-618.
WWW Link. 1506
BibRef

Liu, J.[Jing], Li, C.[Chunpeng], Mei, F.[Feng], Wang, Z.Q.[Zhao-Qi],
3D entity-based stereo matching with ground control points and joint second-order smoothness prior,
VC(31), No. 9, September 2015, pp. 1253-1269.
Springer DOI 1508
BibRef

Huang, J.Z.[Jing-Zhou],
Stereo matching based on segmented B-spline surface fitting and accelerated region belief propagation,
IET-CV(9), No. 4, 2015, pp. 456-466.
DOI Link 1509
image matching BibRef

Malathi, T., Bhuyan, M.K.,
Estimation of disparity map of stereo image pairs using spatial domain local Gabor wavelet,
IET-CV(9), No. 4, 2015, pp. 595-602.
DOI Link 1509
Gabor filters BibRef

Pham, C.C.[Cuong Cao], Dinh, V.Q.[Vinh Quang], Jeon, J.W.[Jae Wook],
Robust non-local stereo matching for outdoor driving images using segment-simple-tree,
SP:IC(39, Part A), No. 1, 2015, pp. 173-184.
Elsevier DOI 1512
Stereo matching BibRef

Akhavan, T.[Tara], Kaufmann, H.[Hannes],
Backward compatible HDR stereo matching: A hybrid tone-mapping-based framework,
JIVP(2015), No. 1, 2015, pp. 36.
DOI Link 1512
BibRef

Huang, X.M.[Xiao-Ming], Zhang, Y.J.[Yu-Jin],
An O(1) disparity refinement method for stereo matching,
PR(55), No. 1, 2016, pp. 198-206.
Elsevier DOI 1604
Stereo matching BibRef

Huang, X.M.[Xiao-Ming], Cui, G.Q.[Guo-Qin], Zhang, Y.D.[Yun-Dong],
A fast non-local disparity refinement method for stereo matching,
ICIP14(3823-3827)
IEEE DOI 1502
Accuracy BibRef

Fu, L., Peng, G., Song, W.,
Histogram-based cost aggregation strategy with joint bilateral filtering for stereo matching,
IET-CV(10), No. 3, 2016, pp. 173-181.
DOI Link 1604
filtering theory BibRef

Zhan, Y.L.[Yun-Long], Gu, Y.Z.[Yu-Zhang], Zhang, X.L.[Xiao-Lin], Qu, L.[Lei], Pi, J.T.[Jia-Tian], Huang, X.X.[Xiao-Xia], Wang, Y.G.[Ying-Guan], Luo, J.F.[Ju-Feng], Qiu, Y.Z.[Yun-Zhou],
Stereo Matching Based on Efficient Image-Guided Cost Aggregation,
IEICE(E99-D), No. 3, March 2016, pp. 781-784.
WWW Link. 1604
BibRef

Zhan, Y.L.[Yun-Long], Gu, Y.Z.[Yu-Zhang], Huang, K.[Kui], Zhang, C.[Cheng], Hu, K.[Keli],
Accurate Image-Guided Stereo Matching With Efficient Matching Cost and Disparity Refinement,
CirSysVideo(26), No. 9, September 2016, pp. 1632-1645.
IEEE DOI 1609
Accuracy BibRef

Song, K.C.[Ke-Chen], Wen, X.[Xin], Zhao, Y.J.[Yong-Jie], Dong, Z.P.[Zhi-Peng], Yan, Y.H.[Yun-Hui],
Noise robust image matching using adjacent evaluation census transform and wavelet edge joint bilateral filter in stereo vision,
JVCIR(38), No. 1, 2016, pp. 487-503.
Elsevier DOI 1605
Stereo matching BibRef

Spyropoulos, A.[Aristotle], Mordohai, P.[Philippos],
Correctness Prediction, Accuracy Improvement and Generalization of Stereo Matching Using Supervised Learning,
IJCV(118), No. 3, July 2016, pp. 300-318.
Springer DOI 1608
BibRef

Spyropoulos, A.[Aristotle], Komodakis, N.[Nikos], Mordohai, P.[Philippos],
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching,
CVPR14(1621-1628)
IEEE DOI 1409
3D computer vision; Stereo correspondence BibRef

Liu, T., Peng, X., Qiao, L.,
Window-Based Three-Dimensional Aggregation for Stereo Matching,
SPLetters(23), No. 7, July 2016, pp. 1008-1012.
IEEE DOI 1608
Aggregates BibRef

Zhu, S.Q.[Shi-Qiang], Wang, Z.[Zhi], Zhang, X.Q.[Xue-Qun], Li, Y.H.[Yue-Hua],
Edge-preserving guided filtering based cost aggregation for stereo matching,
JVCIR(39), No. 1, 2016, pp. 107-119.
Elsevier DOI 1608
Stereo matching BibRef

Wang, Z.[Zhi], Zhu, S.Q.[Shi-Qiang], Li, Y.H.[Yue-Hua], Cui, Z.Z.[Zheng-Zhe],
Convolutional neural network based deep conditional random fields for stereo matching,
JVCIR(40, Part B), No. 1, 2016, pp. 739-750.
Elsevier DOI 1610
Stereo matching BibRef

Liu, M.[Mohan], Müller, K.[Karsten], Raake, A.[Alexander],
Efficient no-reference metric for sharpness mismatch artifact between stereoscopic views,
JVCIR(39), No. 1, 2016, pp. 132-141.
Elsevier DOI 1608
Sharpness mismatch BibRef

Choi, O.[Ouk], Chang, H.S.[Hyun Sung],
Yet Another Cost Aggregation Over Models,
IP(25), No. 11, November 2016, pp. 5397-5410.
IEEE DOI 1610
Adaptation models BibRef

Lei, H., Jung, C.,
Reliability-Based Discontinuity-Preserving Stereo Matching,
CirSysVideo(26), No. 10, October 2016, pp. 1970-1975.
IEEE DOI 1610
Electronic mail BibRef

Lin, C.[Chuan], Li, Y.[Ya], Xu, G.[Guili], Cao, Y.J.[Yi-Jun],
Optimizing ZNCC calculation in binocular stereo matching,
SP:IC(52), No. 1, 2017, pp. 64-73.
Elsevier DOI 1701
Stereo matching BibRef

Hamzah, R.A.[Rostam Affendi], Ibrahim, H.[Haidi], Hassan, A.H.A.[Anwar Hasni Abu],
Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation,
JVCIR(42), No. 1, 2017, pp. 145-160.
Elsevier DOI 1701
Iterative guided filter BibRef


Gaisser, F., Jonker, P.P., Chiba, T.,
Image Registration for Placenta Reconstruction,
WBIR16(473-480)
IEEE DOI 1612
BibRef

Mostegel, C.[Christian], Rumpler, M.[Markus], Fraundorfer, F.[Friedrich], Bischof, H.[Horst],
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision,
CVPR16(4067-4076)
IEEE DOI 1612
Synthesizing training data. BibRef

Luo, W., Schwing, A.G., Urtasun, R.[Raquel],
Efficient Deep Learning for Stereo Matching,
CVPR16(5695-5703)
IEEE DOI 1612
BibRef

Jeon, H.G., Lee, J.Y., Im, S., Ha, H., Kweon, I.S.,
Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions,
CVPR16(4086-4094)
IEEE DOI 1612
BibRef

Zou, D., Guo, P., Wang, Q., Wang, X., Shao, G., Shi, F., Li, J., Park, P.K.J.,
Context-aware event-driven stereo matching,
ICIP16(1076-1080)
IEEE DOI 1610
Biosensors BibRef

Kim, K.R., Kim, C.S.,
Adaptive smoothness constraints for efficient stereo matching using texture and edge information,
ICIP16(3429-3433)
IEEE DOI 1610
Algorithm design and analysis BibRef

Nahar, S., Joshi, M.V.,
A regularization framework for stereo matching using IGMRF prior and sparseness learned from autoencoder,
ICIP16(3434-3438)
IEEE DOI 1610
Discrete cosine transforms BibRef

Hamilton, O.K., Breckon, T.P.,
Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow,
ICIP16(3439-3443)
IEEE DOI 1610
Cameras BibRef

Chuang, T.Y., Ting, H.W., Jaw, J.J.,
Hybrid-based Dense Stereo Matching,
ISPRS16(B3: 495-501).
DOI Link 1610
BibRef

Yuan, W.[Wei], Chen, S.[Shiyu], Zhang, Y.[Yong], Gong, J.Y.[Jian-Ya], Shibasaki, R.[Ryosuke],
An Aerial-image Dense Matching Approach Based On Optical Flow Field,
ISPRS16(B3: 543-548).
DOI Link 1610
BibRef

Monteiro, N.B.[Nuno Barroso], Barreto, J.P.[Joăo Pedro], Gaspar, J.[José],
Dense Lightfield Disparity Estimation Using Total Variation Regularization,
ICIAR16(462-469).
Springer DOI 1608
BibRef

Suvei, S.D.[Stefan-Daniel], Bodenhagen, L.[Leon], Kiforenko, L.[Lilita], Christiansen, P.[Peter], Jřrgensen, R.N.[Rasmus N.], Buch, A.G.[Anders G.], Krüger, N.[Norbert],
Stereo and Active-Sensor Data Fusion for Improved Stereo Block Matching,
ICIAR16(451-461).
Springer DOI 1608
BibRef

Davies, R., Wilson, I., Ware, A.,
Stereoscopic disparity generation reduction using a dilated Laplacian approach,
WSSIP15(101-104)
IEEE DOI 1603
Laplace equations BibRef

Cheng, H., Zhang, J., An, P., Liu, Z.,
A Novel Saliency Model for Stereoscopic Images,
DICTA15(1-7)
IEEE DOI 1603
Boolean functions BibRef

Nguyen, D.M.[Duc Minh], Hanca, J., Lu, S.P.[Shao-Ping], Munteanu, A.[Adrian],
Robust stereo matching using census cost, discontinuity-preserving disparity computation and view-consistent refinement,
IC3D15(1-8)
IEEE DOI 1603
computer vision BibRef

Chen, Z., Sun, X., Wang, L., Yu, Y., Huang, C.,
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs,
ICCV15(972-980)
IEEE DOI 1602
Computational modeling BibRef

Lin, H.Y.[Huei-Yung], Kao, C.C.[Chung-Chieh],
Stereo Matching Techniques for High Dynamic Range Image Pairs,
PSIVT15(605-616).
Springer DOI 1602
BibRef

Facciolo, G.[Gabriele], de Franchis, C.[Carlo], Meinhardt, E.[Enric],
MGM: A Significantly More Global Matching for Stereovision,
BMVC15(xx-yy).
DOI Link 1601
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Khan, W.[Waqar], Klette, R.[Reinhard],
Stereo-Matching in the Context of Vision-Augmented Vehicles,
ISVC15(II: 57-69).
Springer DOI 1601
BibRef

Zhu, H.M.[Hong-Mei], Yin, J.[Jihao], Yuan, D.[Ding], Sui, W.[Wei],
Fluctuations of disparity space image for stereo matching in untextured regions,
ICIP15(1578-1582)
IEEE DOI 1512
Computer vision BibRef

Donne, S.[Simon], Goossens, B.[Bart], Philips, W.[Wilfried],
Point Triangulation through Polyhedron Collapse Using the L-inf Norm,
ICCV15(792-800)
IEEE DOI 1602
AWGN BibRef

Donne, S.[Simon], Goossens, B.[Bart], Aelterman, J.[Jan], Philips, W.[Wilfried],
Variational multi-image stereo matching,
ICIP15(897-901)
IEEE DOI 1512
depth estimation; light field; stereo BibRef

Sheng, H.[Hao], Zhang, S.[Shuo], Zhu, G.L.[Geng-Liang], Xiong, Z.[Zhang],
Guided integral filter for light field stereo matching,
ICIP15(852-856)
IEEE DOI 1512
Depth Estimation BibRef

Zbontar, J.[Jure], Le Cun, Y.L.[Yann L.],
Computing the stereo matching cost with a convolutional neural network,
CVPR15(1592-1599)
IEEE DOI 1510
BibRef

Park, M.G.[Min-Gyu], Yoon, K.J.[Kuk-Jin],
Leveraging stereo matching with learning-based confidence measures,
CVPR15(101-109)
IEEE DOI 1510
BibRef

Ma, R.[Rui], Au, O.C., Wan, P.F.[Peng-Fei], Sun, W.X.[Wen-Xiu], Xu, L.F.[Ling-Feng], Jia, L.H.[Lu-Heng],
Solving dense stereo matching via quadratic programming,
VCIP14(370-373)
IEEE DOI 1504
computational complexity BibRef

Rosales, E., Guan, L.[Ling],
Stereo correspondence using an assisted discrete cosine transform method,
VCIP14(81-84)
IEEE DOI 1504
discrete cosine transforms BibRef

Wei, D.L.[Dong-Lai], Liu, C.[Ce], Freeman, W.T.[William T.],
A Data-Driven Regularization Model for Stereo and Flow,
3DV14(277-284)
IEEE DOI 1503
Benchmark testing BibRef

Furuta, R.[Ryosuke], Ikehata, S.[Satoshi], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
Coarse-to-fine strategy for efficient cost-volume filtering,
ICIP14(3793-3797)
IEEE DOI 1502
Accuracy BibRef

Bai, X.J.[Xue-Jiao], Luo, X.[Xuan], Li, S.[Shuo], Lu, H.T.[Hong-Tao],
Adaptive stereo matching via loop-erased random walk,
ICIP14(3788-3792)
IEEE DOI 1502
Accuracy BibRef

Ha, J.[Jeong_Mok], Jeong, H.[Hong],
A Robust Stereo Vision with Confidence Measure Based on Tree Agreement,
PSIVT15(243-256).
Springer DOI 1602
BibRef

Ha, J.[Jeong_Mok], Jeon, J.[Jea_Young], Bae, G.[Gi_Yeong], Jo, S.[Sung_Yong], Jeong, H.[Hong],
Cost Aggregation Table: Cost Aggregation Method Using Summed Area Table Scheme for Dense Stereo Correspondence,
ISVC14(I: 815-826).
Springer DOI 1501
BibRef

Olsson, C.[Carl], Ulen, J.[Johannes], Eriksson, A.[Anders],
Local Refinement for Stereo Regularization,
ICPR14(4056-4061)
IEEE DOI 1412
Least squares approximations BibRef

Huang, X.M.[Xiao-Ming], Cui, G.Q.[Guo-Qin], Zhang, Y.D.[Yun-Dong],
An Improved Filtering for Fast Stereo Matching,
ICPR14(2448-2452)
IEEE DOI 1412
Accuracy BibRef

Taniai, T.[Tatsunori], Matsushita, Y.[Yasuyuki], Naemura, T.[Takeshi],
Graph Cut Based Continuous Stereo Matching Using Locally Shared Labels,
CVPR14(1613-1620)
IEEE DOI 1409
BibRef

Cheng, J.[Jian], Leng, C.[Cong], Wu, J.[Jiaxiang], Cui, H.N.[Hai-Nan], Lu, H.Q.[Han-Qing],
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction,
CVPR14(1-8)
IEEE DOI 1409
BibRef

Nahar, S., Joshi, M.V.,
A learning based approach for dense stereo matching with IGMRF prior,
NCVPRIPG13(1-4)
IEEE DOI 1408
Gaussian processes BibRef

Ito, K., Sasaki, M., Aoki, T., Ishigami, T., Nishimura, A.,
Generating Robust and Stable Disparity Map Using Phase-Based Correspondence Matching from Stereo Video Sequence,
ACPR13(586-590)
IEEE DOI 1408
image matching See also Palmprint Recognition Algorithm Using Phase-Based Correspondence Matching, A. See also Fingerprint Recognition Algorithm Using Phase-Based Image Matching for Low-Quality Fingerprints, A. See also Effective Approach for Iris Recognition Using Phase-Based Image Matching, An. BibRef

Wang, H.Q.[Hao-Qian], Wu, M.[Mian], Zhang, Y.B.[Yong-Bing], Zhang, L.[Lei],
Effective stereo matching using reliable points based graph cut,
VCIP13(1-6)
IEEE DOI 1402
graph theory BibRef

Hong, G.S.[Gwang-Soo], Kim, B.G.[Byung-Gyu], Kim, T.J.[Tae-Jung], Yu, J.J.[Jeong-Ju],
Efficient depth map estimation method based on gradient weight cost aggregation strategy,
VCIP13(1-5)
IEEE DOI 1402
image matching BibRef

Liu, H.[Haixu], Liu, Y.[Yang], OuYang, S.X.[Shu-Xin], Liu, C.[Chenyu], Li, X.M.[Xue-Ming],
A novel method for stereo matching using Gabor Feature Image and Confidence Mask,
VCIP13(1-6)
IEEE DOI 1402
Gabor filters BibRef

Heise, P.[Philipp], Jensen, B.[Brian], Klose, S.[Sebastian], Knoll, A.[Alois],
Variational PatchMatch MultiView Reconstruction and Refinement,
ICCV15(882-890)
IEEE DOI 1602
BibRef
Earlier: A1, A3, A2, A4:
PM-Huber: PatchMatch with Huber Regularization for Stereo Matching,
ICCV13(2360-2367)
IEEE DOI 1403
PatchMatch. Cameras BibRef

Shin, Y.H.[Yong-Ho], Yoon, K.J.[Kuk-Jin],
Spatiotemporal Stereo Matching with 3D Disparity Profiles,
BMVC15(xx-yy).
DOI Link 1601
BibRef
Earlier:
Spatiotemporal stereo matching for dynamic scenes with temporal disparity variation,
ICIP13(2242-2246)
IEEE DOI 1402
Belief propagation; Image sequences; Markov random fields; Stereo vision BibRef

Fuhr, G., Fickel, G.P., Dal'Aqua, L.P., Jung, C.R., Malzbender, T., Samadani, R.,
An evaluation of stereo matching methods for view interpolation,
ICIP13(403-407)
IEEE DOI 1402
Computer vision BibRef

Bai, X.J.[Xue-Jiao], Kamata, S.I.[Sei-Ichiro],
An efficient window-based stereo matching algorithm using foreground disparity concentration,
ICARCV12(1352-1357).
IEEE DOI 1304
BibRef

Wu, W.[Wei], Wang, H.Q.[Hao-Qian],
Stereo matching using graph cuts: A 3D-Hough transformation approach,
ICARCV12(1160-1164).
IEEE DOI 1304
BibRef

Lin, H.Y.[Huei-Yung], Chou, X.H.[Xin-Han],
Stereo matching on low intensity quantization images,
ICPR12(2618-2621).
WWW Link. 1302
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Liu, T.L.[Tian-Liang], Dai, X.B.[Xiu-Bin], Huo, Z.Y.[Zhi-Yong], Zhu, X.C.[Xiu-Chang], Luo, L.M.[Li-Min],
A cost construction via MSW and linear regression for stereo matching,
ICPR12(914-917).
WWW Link. 1302
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Ma, J.[Jiayi], Zhao, J.[Ji], Zhou, Y.[Yu], Tian, J.W.[Jin-Wen],
Mismatch removal via coherent spatial mapping,
ICIP12(1-4).
IEEE DOI 1302
BibRef

Wang, C.[Chun], Sahin, E., Suominen, O.[Olli], Gotchev, A.[Atanas],
Depth estimation by combining stereo matching and coded aperture,
VCIP14(291-294)
IEEE DOI 1504
image matching BibRef

Suominen, O.[Olli], Gotchev, A.[Atanas], Hannuksela, M.M.[Miska M.],
Transform domain similarity measures in stereo matching,
3DTV12(1-4).
IEEE DOI 1212
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Zhu, S.Q.[Sheng-Qi], Zhang, L.[Li], Jin, H.L.[Hai-Lin],
A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching,
ECCV12(V: 101-115).
Springer DOI 1210
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Çlgla, C.[Cevahir], Alatan, A.A.[A. Aydln],
An Improved Stereo Matching Algorithm with Ground Plane and Temporal Smoothness Constraints,
UnOptFlow12(II: 134-147).
Springer DOI 1210
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Hirschmüller, H., Buder, M., Ernst, I.,
Memory Efficient Semi-Global Matching,
AnnalsPRS(I-3), No. 2012, pp. 371-376.
HTML Version. 1209
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Irschara, A., Rumpler, M., Meixner, P., Pock, T., Bischof, H.,
Efficient and Globally Optimal Multi View Dense Matching for Aerial Images,
AnnalsPRS(I-3), No. 2012, pp. 227-232.
HTML Version. 1209
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Hu, T., Wu, H.,
Dense Corresponding Pixel Matching Using A Fixed Window with RGB Independent Information,
AnnalsPRS(I-4), No. 2012, pp. 89-93.
HTML Version. 1209
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Xiong, J., Zhang, Y.,
Combined Multi-View Matching Algorithm With Long-Strips of Satellite Imagery from Different Orbits,
AnnalsPRS(I-3), No. 2012, pp. 87-92.
HTML Version. 1209
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Chang, W.C., Chen, L.C.,
Feature Analysis for Multi-Window Matching,
ISPRS12(XXXIX-B6:107-110).
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Center, Left, Right image. BibRef

Kumar, S.[Sanoj], Kumar, S.[Sanjeev], Sukavanam, N.[Nagarajan], Raman, B.[Balasubramanian],
Disparity estimation using fractional dual tree complex wavelet transform,
ICIIP11(1-6).
IEEE DOI 1112
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Jama, A.[Arshad], Rakshit, S.[Subrata],
Augmenting graph cut with TV-L1 approach for robust stereo matching,
ICIIP11(1-6).
IEEE DOI 1112
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Feldmann, A.[Anton], Krüger, L.[Lars], Kummert, F.[Franz],
An Evaluation on Estimators for Stochastic and Heuristic Based Cost Functions Using the Epipolar-Constraint,
MIRAGE11(40-50).
Springer DOI 1110
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Sun, X.[Xun], Mei, X.[Xing], Jiao, S.H.[Shao-Hui], Zhou, M.C.[Ming-Cai], Wang, H.T.[Hai-Tao],
Stereo Matching with Reliable Disparity Propagation,
3DIMPVT11(132-139).
IEEE DOI 1109
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Wang, L.[Liang], Yang, R.G.[Rui-Gang],
Global stereo matching leveraged by sparse ground control points,
CVPR11(3033-3040).
IEEE DOI 1106
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Liu, S.[Shubao], Cooper, D.B.[David B.],
A complete statistical inverse ray tracing approach to multi-view stereo,
CVPR11(913-920).
IEEE DOI 1106
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Yu, J.J.[Jung-Jae], Kim, H.D.[Hae-Dong], Jang, H.W.[Ho-Wook], Nam, S.W.[Seung-Woo],
A hybrid color matching between stereo image sequences,
3DTV11(1-4).
IEEE DOI 1105
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Samir, B.V.R., Il, N.S.[Na Sang], Kalia, R.[Robin],
Image matching with SIFT descriptor on affine normalized MSERs,
FCV11(1-4).
IEEE DOI 1102
Maximally stable extremal regions. BibRef

Yamaguchi, K.[Koichiro], Hazan, T.[Tamir], McAllester, D.[David], Urtasun, R.[Raquel],
Continuous Markov Random Fields for Robust Stereo Estimation,
ECCV12(V: 45-58).
Springer DOI 1210
See also Robust Monocular Epipolar Flow Estimation. See also Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. BibRef

Geiger, A.[Andreas], Roser, M.[Martin], Urtasun, R.[Raquel],
Efficient Large-Scale Stereo Matching,
ACCV10(I: 25-38).
Springer DOI 1011
BibRef

Krumnikl, M.[Michal],
Stereo Matching in Mean Shift Attractor Space,
ISVC10(III: 465-473).
Springer DOI 1011
BibRef

Min, D.B.[Dong-Bo], Yea, S.H.[Se-Hoon], Vetro, A.[Anthony],
Occlusion handling based on support and decision,
ICIP10(1777-1780).
IEEE DOI 1009
In stereo. BibRef

Lai, Y.C.[Yen-Chieh], Cheng, C.C.[Chao-Chung], Liang, C.K.[Chia-Kai], Chen, L.G.[Liang-Gee],
Efficient message reduction algorithm for stereo matching using belief propagation,
ICIP10(2977-2980).
IEEE DOI 1009
BibRef

Doutre, C.[Colin], Nasiopoulos, P.[Panos],
Optimized contrast reduction for crosstalk cancellation in 3D displays,
3DTV11(1-4).
IEEE DOI 1105
BibRef

Doutre, C.[Colin], Nasiopoulos, P.[Panos],
A stereo matching data cost robust to blurring,
ICIP10(1773-1776).
IEEE DOI 1009
BibRef

Chang, Y.J.[Yao-Jen], Liu, H.H.[Hung-Hsun], Chen, T.H.[Tsu-Han],
Improving subpixel stereo matching with segment evolution,
ICIP10(1781-1784).
IEEE DOI 1009
BibRef

Wang, W.[Wei], Zhang, C.M.[Cai-Ming], Hu, X.[Xia], Li, W.T.[Wei-Tao],
Occlusion-Aided Weights for Local Stereo Matching,
AVSS10(476-481).
IEEE DOI 1009
BibRef

Zhang, Y.H.[Yu-Hang], Hartley, R.I.[Richard I.], Wang, L.[Lei],
Fast Multi-labelling for Stereo Matching,
ECCV10(III: 524-537).
Springer DOI 0109
BibRef

Wangsiripitak, S.[Somkiat], Murray, D.W.[David W.],
Reducing mismatching under time-pressure by reasoning about visibility and occlusion,
BMVC10(xx-yy).
HTML Version. 1009
Occlusions in image correspondence. BibRef

Nefian, A.V.[Ara V.], Husmann, K.[Kyle], Broxton, M.J.[Michael J.], To, V.[Vinh], Lundy, M.[Michael], Hancher, M.D.[Mattew D.],
A bayesian formulation for sub-pixel refinement in stereo orbital imagery,
ICIP09(2361-2364).
IEEE DOI 0911
BibRef

Ju, M.H.[Myung-Ho], Kang, H.B.[Hang-Bong],
A new method for stereo matching using pixel cooperative optimization,
ICIP09(2105-2108).
IEEE DOI 0911
BibRef

Ju, M.H.[Myung-Ho], Kang, H.B.[Hang-Bong],
Constant Time Stereo Matching,
IMVIP09(13-17).
IEEE DOI 0909
BibRef

Liu, Q.Q.[Qiang-Qiang], Luo, X.L.[Xi-Ling], Zhang, J.[Jun],
A New Method of Correspondence for Multiple Cameras Based on Texture Energy,
ICMV09(264-269).
IEEE DOI 0912
BibRef

Xie, Y.R.[Yi-Ran], Liu, N.J.[Nian-Jun], Liu, S.[Sheng], Barnes, N.,
Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut,
DICTA11(518-523).
IEEE DOI 1205
BibRef

Wang, Z.J.[Zhong-Jie], Chen, S.Y.[Sheng-Yong], Liu, S.[Sheng],
Stereo Correspondence with Global and Local Traits,
CISP09(1-4).
IEEE DOI 0910
BibRef

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 0906
Each point as a feature vector, match point clouds. BibRef

Shen, R.[Rui], Cheng, I.[Irene], Li, X.B.[Xiao-Bo], Basu, A.[Anup],
Stereo matching using random walks,
ICPR08(1-4).
IEEE DOI 0812
BibRef

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 0906
BibRef

Rohith, M.V., Kambhamettu, C.[Chandra],
Learning Image Structures for Optimizing Disparity Estimation,
ACCV10(III: 627-640).
Springer DOI 1011
BibRef

Rohith, M.V., Somanath, G.[Gowri], Kambhamettu, C.[Chandra], Geiger, C.[Cathleen], Finnegan, D.[David],
Modified Region Growing for Stereo of Slant and Textureless Surfaces,
ISVC10(I: 666-677).
Springer DOI 1011
BibRef
Earlier: A1, A2, A3, A4, Only:
Towards estimation of dense disparities from stereo images containing large textureless regions,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Gherardi, R.[Riccardo],
Confidence-based cost modulation for stereo matching,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Narasimha, R.[Ramya], Arnaud, E.[Elise], Forbes, F.[Florence], Horaud, R.[Radu],
Disparity and normal estimation through alternating maximization,
ICIP10(2969-2972).
IEEE DOI 1009
BibRef
Earlier:
Cooperative disparity and object boundary estimation,
ICIP08(1784-1787).
IEEE DOI 0810
Combine in markovian framework. BibRef

Mayer, H.[Helmut],
Issues for Image Matching in Structure from Motion,
ISPRS08(B3a: 21 ff).
PDF File. 0807
BibRef

Silveira, M.T., Feitosa, R.Q., Jacobsen, K., Brito, J.L.N.S., Heckel, Y.,
A Hybrid Method for Stereo Image Matching,
ISPRS08(B1: 895 ff).
PDF File. 0807
BibRef

Chai, D.F.[Deng-Feng], Peng, Q.S.[Qun-Sheng],
Bilayer Stereo Matching,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Zureiki, A.[Ayman], Devy, M.[Michel], Chatila, R.[Raja],
Stereo Matching using Reduced-Graph Cuts,
ICIP07(I: 237-240).
IEEE DOI 0709
BibRef

Simhadri, V.[Vikram], Chandramani, P.[Premanand], Ozturk, Y.[Yusuf],
RASCor: Realtime Associative Stereo Correspondence,
ICIP07(VI: 197-200).
IEEE DOI 0709
BibRef

Sarkis, M.[Michel], Diepold, K.[Klaus],
Sparse stereo matching using belief propagation,
ICIP08(1780-1783).
IEEE DOI 0810
BibRef

Sarkis, M.[Michel], Dörfler, N.[Nikolas], Diepold, K.[Klaus],
Fast Adaptive Graph-Cuts Based Stereo Matching,
ACIVS07(818-827).
Springer DOI 0708
BibRef

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 0711
BibRef
And:
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines,
ACIVS07(427-438).
Springer DOI 0708
BibRef

Curtis, P.[Phillip], Payeur, P.[Pierre],
A Method for Dynamic Selection of Optimal Depth Measurements Acquisition with Random Access Range Sensors,
CRV13(311-318)
IEEE DOI 1308
Computers BibRef

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 0905
BibRef

Payeur, P.[Pierre], Desjardins, D.[Danick],
Structured Light Stereoscopic Imaging with Dynamic Pseudo-random Patterns,
ICIAR09(687-696).
Springer DOI 0907
BibRef
Earlier: A2, A1:
Dense Stereo Range Sensing with Marching Pseudo-Random Patterns,
CRV07(216-226).
IEEE DOI 0705
BibRef

Petran, V., Merat, F.,
Stereoscopic Correspondence without Continuity Assumptions,
Southwest06(21-25).
IEEE DOI 0603
BibRef

Mozerov, M.[Mikhail],
An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation,
DAGM06(617-626).
Springer DOI 0610
BibRef

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 0601
BibRef

Gimel'farb, G.L.[Georgy L.], Li, J.[Jiang], Morris, J.[John], Delmas, P.[Patrice],
Concurrent Stereo under Photometric Image Distortions,
ICPR06(I: 111-114).
IEEE DOI 0609
BibRef

Morris, J.[John], Gimel'farb, G.L.[Georgy L.], Liu, J.[Jiang], Delmas, P.[Patrice],
Concurrent Stereo Matching: An Image Noise-Driven Model,
EMMCVPR05(46-59).
Springer DOI 0601
BibRef

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 0510
Find the global optimum (generally NP complete) in 30 minutes using belief propogation approach. BibRef

Kong, D., Tao, H.,
Stereo Matching via Learning Multiple Experts Behaviors,
BMVC06(I:97).
PDF File. 0609
BibRef
Earlier:
A method for learning matching errors for stereo computation,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Ahlvers, U., Zoelzer, U.,
Improvement of phase-based algorithms for disparity estimation by means of magnitude information,
ICIP04(V: 3025-3028).
IEEE DOI 0505
BibRef

Ahlvers, U.[Udo], Zoelzer, U.[Udo], Rechmeier, S.[Stefan],
FFT-Based Disparity Estimation for Stereo Image Coding,
DAGM03(257-264).
Springer DOI 0310
BibRef
And: ICIP03(I: 761-764).
IEEE DOI 0312
BibRef

Jodoin, P.M., Mignotte, M.,
An energy-based framework using global spatial constraints for the stereo correspondence problem,
ICIP04(V: 3001-3004).
IEEE DOI 0505
BibRef

Jagmohan, A., Singh, M., Ahuja, N.,
Dense stereo matching using kernel maximum likelihood estimation,
ICPR04(III: 28-31).
IEEE DOI 0409
BibRef

Kostkova, J., Sara, R.,
Stratified Dense Matching for Stereopsis in Complex Scenes,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

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 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 0609
BibRef

Pugeault, N.[Nicolas], Kruger, N.[Norbert],
Multi-Modal Matching Applied to Stereo,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Veksler, O.,
Fast variable window for stereo correspondence using integral images,
CVPR03(I: 556-561).
IEEE DOI 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
BibRef

Oda, K.[Kazuo], Doihara, T.[Takeshi], Shibasaki, R.[Ryosuke],
Stereo Plane Matching Technique,
PCV02(A: 228). 0305
BibRef

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 0211
BibRef

Williams, J., Bennamoun, M.,
An extended Kalman filtering approach to high precision stereo image matching,
ICIP98(II: 157-161).
IEEE DOI 9810
BibRef

Sára, R.[Radim],
Finding the Largest Unambiguous Component of Stereo Matching,
ECCV02(III: 900 ff.).
Springer DOI 0205
BibRef

Maciel, J.[Joăo], Costeira, J.P.[Joăo P.],
Maximizing Rigidity: Optimal Matching under Scaled-Orthography,
ECCV02(II: 232 ff.).
Springer DOI 0205
Constraints from shape on matching. BibRef

Belli, T., Cord, M., and Philipp-Foliguet, S.,
Colour contribution for stereo image matching,
CCGIP00(317-322).
PS File. BibRef 0001

Chai, J.X.[Jin-Xiang], Ma, S.D.[Song-De],
An Evolutionary Framework for Stereo Correspondence,
ICPR98(Vol I: 841-844).
IEEE DOI 9808
BibRef

Mansouri, A.R., Mitiche, A., Konrad, J.,
Selective image diffusion: application to disparity estimation,
ICIP98(III: 284-288).
IEEE DOI 9810
BibRef

Pilu, M.,
A Direct Method for Stereo Correspondence Based on Singular Value Decomposition,
CVPR97(261-266).
IEEE Abstract.
IEEE DOI 9704
SVD. BibRef

Pilu, M.[Maurizio], Lorusso, A.[Adele],
Uncalibrated Stereo Correspondence by Singular Value Decomposition,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Fielding, G.[Gabriel], and Kam, M.,
Applying the Hungarian Method to Stereo Matching,
DC97(1928-1935). bipartite matching.
WWW Link. And Postscript:
PS File. BibRef 9700

Thomas, B., Yegnanarayana, B., Das, S.,
Stereo-correspondence using Gabor logons and neural networks,
ICIP95(II: 386-389).
IEEE DOI 9510
BibRef

Vaillant, R.[Régis], Gueguen, L.[Laurent],
Genetic algorithms applied to binocular stereovision,
ECCV94(B:193-198).
Springer DOI 9405
BibRef

Maravall, D., Fernandez, E.,
Contribution to the Matching Problem in Stereo Vision,
ICPR92(I:411-414).
IEEE DOI BibRef 9200

Yuille, A.L., and Poggio, T.A.,
A Generalized Ordering Constraint for Stereo Correspondence,
MIT AI Memo-777, May 1984. Order is important, 2 views help you see more. BibRef 8405

Takahashi, H., Tomita, F.,
Planarity Constraint in Stereo Matching,
ICPR88(I: 446-449).
IEEE DOI BibRef 8800

Dong, Y.N.[Yu-Ning], He, Z.Y.[Zhen-Ya],
A fast and effective stereo matching method-implementation aspects,
ICPR88(II: 669-671).
IEEE DOI 8811
BibRef

Blicher, A.P.[A. Peter],
Stereo Matching from the Topological Viewpoint,
DARPA83(293-297). BibRef 8300
And:
The Stereo Matching Problem from the Topological Viewpoint,
IJCAI83(1046-1049). Theory of what can happen in stereo matching? See also Shape Representation for Computer Vision Based on Differential Topology, A. BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Matching for Stereo, Varying Illumination, Radiometric Changes .


Last update:Jan 11, 2017 at 16:41:39