10.1.8 Stereo Analysis: Regions, Combine Area and Edge

Chapter Contents (Back)
Stereo, Regions. Stereo, Edges. Stereo, Combined Area and Local. Regions.

Nishiya, T.[Takushi],
Position measuring method,
US_Patent4,825,393, Apr 25, 1989
WWW Link. BibRef 8904

Fleck, M.M.,
A Topological Stereo Matcher,
IJCV(6), No. 3, August 1991, pp. 197-226.
Springer DOI Works for large angle and disparity differences, but the local structure must be consistent.
See also Boundaries and Topological Algorithms. BibRef 9108

Fleck, M.M.[Margaret M.],
Perspective Projection: The Wrong Imaging Model,
Univ. IowaCS TR 95-01, 1995.
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Cochran, S.D.,
Surface Description from Binocular Stereo,
USC_IRISTR-264, November 1990, BibRef 9011 Ph.D.Thesis (Comp. Eng.). BibRef USC Computer VisionOther papers are preliminary to this one. Stereo analysis with area based and feature based processing. Lots of results. BibRef

Cochran, S.D., and Medioni, G.G.,
3-D Surface Description from Binocular Stereo,
PAMI(14), No. 10, October 1992, pp. 981-994.
IEEE DOI
HTML Version. BibRef 9210 USC Computer Vision BibRef
Earlier:
Accurate Surface Description for Binocular Stereo,
DARPA89(857-869). BibRef
And: 3DWS89(16-23). The paper derived from the thesis work. A large variety of results. Combining edge and area approaches to eliminate errors and improve the results of reconstructions based on stereo. BibRef

Cochran, S.D., Medioni, G.G., and Nevatia, R.,
Correcting Matches and Inferring Surface Patches in Passive Stereo,
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Earlier: A2, A3 Only:
Steps Toward Accurate Stereo Correspondence,
DARPA87(777-791).
HTML Version. Stereo matching taking lines and regions and getting surfaces. BibRef

Hoff, W.[William], and Ahuja, N.[Narendra],
Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection,
PAMI(11), No. 2, February 1989, pp. 121-136.
IEEE DOI BibRef 8902
Earlier:
Extracting Surfaces from Stereo Images: an Integrated Approach,
ICCV87(284-294), BibRef
Surfaces from Stereo,
ICPR86(516-518), BibRef
And: DARPA85(98-106). BibRef
And:
Depth from Stereo,
CVPR85(NOT in the proceedings). Integrate the 3D determined from stereo with the 3D reconstructions and require them to agree. BibRef

Hoff, W.A.,
Surfaces from Stereo: An Integrated Approach,
Ph.D.1987. BibRef 8700 Illinoisat Urbana-Champaign. BibRef

McKeown, D.M., and Perlant, F.P.,
Refinement of Disparity Estimates Through the Fusion of Monocular Image Segmentations,
CVPR92(486-492).
IEEE DOI BibRef 9200
And: DARPA92(839-855). Stereo, Regions. Considerable improvement of the results using fusion. BibRef

Hsieh, Y.C.[Yuan C.], McKeown, Jr., D.M.[David M.], Perlant, F.P.[Frederic P.],
Performance Evaluation of Scene Registration and Stereo Matching for Cartographic Feature Extraction,
PAMI(14), No. 2, February 1992, pp. 214-238.
IEEE DOI BibRef 9202
Earlier: CMU-CS-TR-90-193, CMU CS Dept., November 1990. BibRef
Earlier: A1, A3, A2:
Recovering 3D Information from Complex Aerial Imagery,
DARPA90(670-691). BibRef
And: ICPR90(I: 136-146).
IEEE DOI Application, Cartography. Stereo, Evaluation. Matching, Evaluation. Stereo by merging line based processes and area based. Uses the earlier scene registration work. Comparison with ground truth results. BibRef

Mclauchlan, P.F.[Philip F.], Mayhew, J.E.W.[John E.W.], Frisby, J.P.[John P.],
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IVC(9), No. 1, February 1991, pp. 20-26.
Elsevier DOI BibRef 9102
Earlier: BMVC90(xx-yy).
PDF File. 9009
BibRef

Fua, P.V.,
A Parallel Stereo Algorithm That Produces Dense Depth Maps and Preserves Image Features,
MVA(6), No. 1, Winter 1993, pp. 35-49. BibRef 9300
And: INRIAresearch report 1369. BibRef

Huynh, D.Q., Owens, R.A.,
Line Labeling And Region-Segmentation In Stereo Image Pairs,
IVC(12), No. 4, May 1994, pp. 213-225.
Elsevier DOI BibRef 9405

Pong, T.C., Haralick, R.M., Shapiro, L.G.,
Matching Topographic Structures in Stereo Vision,
PRL(9), 1989, pp. 127-136. BibRef 8900

Super, B.J., Klarquist, W.N.,
Patch-Based Stereo in a General Binocular Viewing Geometry,
PAMI(19), No. 3, March 1997, pp. 247-253.
IEEE DOI 9704
BibRef
Earlier:
Patch Matching and Stereopsis in a General Stereo Viewing Geometry,
Univ. of TexasTR 94-006, November 1994, Revised February 1995. Gets 3-D planar patches from image patch matches. BibRef

Rojas, A., Calvo, A., Munoz, J.,
A Dense Disparity Map of Stereo Images,
PRL(18), No. 4, April 1997, pp. 385-393. 9708
BibRef

Wei, G.Q.[Guo-Qing], Brauer, W.[Wilfried], Hirzinger, G.[Gerd],
Intensity-Based and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions,
PAMI(20), No. 11, November 1998, pp. 1143-1160.
IEEE DOI 9811
Minimize intensity and gradient errors together. Dense depth maps from stereo images. BibRef

Valentinotti, F., Taraglio, S.,
A hybrid approach for stereo disparity computation,
MVA(11), No. 4, 1999, pp. 161-170.
Springer DOI 0001
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Boufama, B.S.[Boubakeur S.],
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PR(33), No. 5, May 2000, pp. 871-873.
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Earlier:
The Use of Homographies for View Synthesis,
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IEEE DOI 0009
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Boufama, B., O'Connell, D.,
Region segmentation and matching in stereo images,
ICPR02(III: 631-634).
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Amintabar, A.[Amirhasan], Boufama, B.[Boubakeur],
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ICIAR09(727-736).
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Earlier:
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Han, K.P.[Kyu-Phil], Bae, T.M.[Tae-Min], Ha, Y.H.[Yeong-Ho],
Hybrid stereo matching with a new relaxation scheme of preserving disparity discontinuity,
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Combined edge and region. BibRef

López, A.[Angeles], Pla, F.[Filiberto],
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Segmentation errors in region-based approaches. BibRef

Moravec, K., Harvey, R.W., Bangham, J.A.,
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Moravec, K.[Kimberly], Harvey, R.W.[Richard W.], Bangham, J.A.[J. Andrew], Fisher, M.H.[Mark H.],
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ICIP99(I:26-30).
IEEE DOI BibRef 9900

Bangham, J.A., Moravec, K., Harvey, R.W.,
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BMVC99(Image Matching and Retrieval).
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Moravec, K., Harvey, R.W., Bangham, J.A.,
Improving Stereo Performance in Regions of Low Texture,
BMVC98(xx-yy). BibRef 9800

Boykov, Y.Y.[Yuri Y.], Veksler, O.[Olga], Zabih, R.[Ramin],
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PAMI(23), No. 11, November 2001, pp. 1222-1239.
IEEE DOI 0112
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Earlier:
Disparity Component Matching for Visual Correspondence,
CVPR97(470-475).
IEEE DOI 9704
Dense correspondence, use connected disparity regions. In assigning a disparity at every pixel the smoothness constraint and sharp discontinuities collide. The exact solution is NPhard so find an approximation.
See also What Energy Functions Can Be Minimized via Graph Cuts?.
See also Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images.
See also PALMS Image Partitioning: A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model. BibRef

Veksler, O.[Olga],
Dense Features for Semi-Dense Stereo Correspondence,
IJCV(47), No. 1-3, April-June 2002, pp. 247-260.
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Earlier:
Semi-Dense Stereo Correspondence with Dense Features,
CVPR01(II:490-497).
IEEE DOI 0110
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And: SMBV01(xx-yy). 0110
Connected set of pixels whose boundary points are matched.
See also Stereo Correspondence with Compact Windows via Minimum Ratio Cycle. BibRef

Veksler, O.[Olga],
Multi-label Moves for MRFs with Truncated Convex Priors,
IJCV(98), No. 1, May 2012, pp. 1-14.
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Earlier:
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IEEE DOI 0706
BibRef
Earlier:
Reducing Search Space for Stereo Correspondence with Graph Cuts,
BMVC06(II:709).
PDF File. 0609
BibRef
Earlier:
Extracting dense features for visual correspondence with graph cuts,
CVPR03(I: 689-694).
IEEE DOI 0307
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Veksler, O.[Olga],
Stereo Correspondence by Dynamic Programming on a Tree,
CVPR05(II: 384-390).
IEEE DOI 0507
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Veksler, O.[Olga],
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PAMI(42), No. 4, April 2020, pp. 1005-1012.
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Image edge detection, Labeling, Inference algorithms, Computational modeling, Optimization methods, fully connected CRFs BibRef

Felzenszwalb, P.F.[Pedro F.], Veksler, O.[Olga],
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Delong, A.[Andrew], Boykov, Y.Y.[Yuri Y.],
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di Stefano, L.[Luigi], Marchionni, M.[Massimiliano], Mattoccia, S.[Stefano],
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IVC(22), No. 12, 1 October 2004, pp. 983-1005.
Elsevier DOI 0409
BibRef
Earlier: Add A4: Neri, G.[Giovanni], VI02(146).
PDF File. 0208
Reject matches when more reliable matches are found. BibRef

Mattoccia, S.[Stefano],
Accurate Dense Stereo by Constraining Local Consistency on Superpixels,
ICPR10(1832-1835).
IEEE DOI 1008
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Tombari, F.[Federico], di Stefano, L.[Luigi], Mattoccia, S.[Stefano], Mainetti, A.,
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Mattoccia, S.[Stefano],
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3D; FPGA; dense stereo; matching; stereo vision BibRef

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Stereo matching, Confidence measure, Machine learning, Semi global matching BibRef

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Bleyer, M.[Michael], Gelautz, M.[Margrit],
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Stereo matching; Segmentation-based matching; Graph-cuts; Occlusion problem BibRef

Bleyer, M.[Michael], Rhemann, C.[Christoph], Gelautz, M.[Margrit],
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization,
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Ogale, A.S.[Abhijit S.], Aloimonos, Y.[Yiannis],
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Wang, D.[Daolei], Lim, K.B.[Kah Bin],
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Stereo matching; Color segmentation; Graph cuts; Disparity plane fitting; Clustering; Optimization; Occlusion; Similarity measure Segement the reference image and use these in matching. BibRef

Haller, I., Nedevschi, S.,
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Qin, X., Shen, J., Mao, X., Li, X., Jia, Y.,
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Algorithm design and analysis BibRef

Raghavendra, U., Makkithaya, K.[Krishnamoorthi], Karunakar, A.K.,
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Li, L., Zhang, S., Yu, X., Zhang, L.,
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Lim, J.[Jaeseung], Lee, S.[Sankeun],
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Convolutional neural networks, Similarity learning, Local descriptors learning, Patch verification, Patch retrieval BibRef

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Image patch matching, Sparse coding, Neural network BibRef

Tian, M.[Mao], Yang, B.S.[Bi-Sheng], Chen, C.[Chi], Huang, R.G.[Rong-Gang], Huo, L.[Liang],
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Zhang, X.H.[Xiao-Hong], Chen, Y.[Yi], Zhang, H.F.[Hao-Feng], Wang, S.H.[Shui-Hua], Lu, J.F.[Jian-Feng], Yang, J.Y.[Jing-Yu],
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Hua, S.Y.[Sheng-You], Sun, Z.Y.[Zhi-Yong], Song, B.[Bo], Liang, P.P.[Peng-Peng], Cheng, E.[Erkang],
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Rouabhia, D.[Djaber], Djedi, N.E.[Nour Eddine],
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Chen, W.[Wei], Peng, J.[Jun], Zhu, Z.[Ziyu], Zhao, Y.[Yong],
HPA-Net: Hierarchical and Parallel Aggregation Network for Context Learning in Stereo Matching,
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Ai, X.D.[Xin-Dong], Yang, Z.[Zuliu], Yang, W.[Weida], Zhao, Y.[Yong], Yu, Z.Z.[Zheng-Zhong], Li, F.[Fuchi],
Suppressing Features That Contain Disparity Edge For Stereo Matching,
ICPR21(7985-7991)
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Convolution, Image edge detection, Aggregates, Feature extraction BibRef

Gee, T.[Trevor], Delmas, P.[Patrice],
Reconstruction with Guided PatchMatch Stereo,
MVA19(1-6)
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dynamic programming, image matching, image reconstruction, stereo image processing, Earth BibRef

Khamis, S.[Sameh], Fanello, S.[Sean], Rhemann, C.[Christoph], Kowdle, A.[Adarsh], Valentin, J.[Julien], Izadi, S.[Shahram],
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction,
ECCV18(XV: 596-613).
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Chabra, R.[Rohan], Straub, J.[Julian], Sweeney, C.[Christopher], Newcombe, R.A.[Richard A.], Fuchs, H.[Henry],
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IEEE DOI 2002
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Yang, G.R.[Guo-Run], Zhao, H.S.[Heng-Shuang], Shi, J.P.[Jian-Ping], Deng, Z.D.[Zhi-Dong], Jia, J.Y.[Jia-Ya],
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Chen, B., Jung, C.,
Patch-Based Stereo Matching Using 3D Convolutional Neural Networks,
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Quenneville, D., Scharstein, D.[Daniel],
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ICIP17(136-140)
IEEE DOI 1803
Cognition, Image color analysis, Image edge detection, Image segmentation, Merging, Surface treatment, untextured scenes BibRef

Liu, J.L.[Jiao-Li], Zhang, L.F.[Lin-Feng], Tao, J.[Jia],
A joint stereo matching in the pixel and image level,
ICIVC17(138-144)
IEEE DOI 1708
Correlation, Image color analysis, Image segmentation, Interpolation, Reliability, Surface fitting, adaptive support, bundle constrains, stereo matching, surface, interpolation BibRef

Drouyer, S.[Sébastien], Beucher, S.[Serge], Bilodeau, M.[Michel], Moreaud, M.[Maxime], Sorbier, L.[Loďc],
Sparse Stereo Disparity Map Densification Using Hierarchical Image Segmentation,
ISMM17(172-184).
Springer DOI 1706
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Li, A.[Ang], Chen, D.P.[Da-Peng], Liu, Y.L.[Yuan-Liu], Yuan, Z.J.[Ze-Jian],
Coordinating Multiple Disparity Proposals for Stereo Computation,
CVPR16(4022-4030)
IEEE DOI 1612
Stereo, large textureless regions. BibRef

Wu, W., Li, L., Jin, W.,
Disparity refinement based on segment-tree and fast weighted median filter,
ICIP16(3449-3453)
IEEE DOI 1610
Decision support systems BibRef

Veldandi, M.[Muninder], Ukil, S.[Soumik], Govindarao, K.[Krishna],
Robust segment-based Stereo using Cost Aggregation,
BMVC14(xx-yy).
HTML Version. 1410
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Ghosh, P.[Pallabi], Venkatesh, K.S.,
Fast and efficient computation of stereo depth maps,
3DTV-CON13(1-4)
IEEE DOI 1309
DAISY;SIFT;Stereo vision;depth discontinuities;graph cuts BibRef

Howard, J.[Joel], Morse, B.S.[Bryan S.], Cohen, S.[Scott], Price, B.L.[Brian L.],
Depth-based patch scaling for content-aware stereo image completion,
WACV14(9-16)
IEEE DOI 1406
BibRef
Earlier: A2, A1, A3, A4:
PatchMatch-Based Content Completion of Stereo Image Pairs,
3DIMPVT12(555-562).
IEEE DOI 1212
Boolean functions BibRef

Zheng, Y.[Ying], Gu, S.[Steve], Tomasi, C.[Carlo],
Fast Tiered Labeling with Topological Priors,
ECCV12(IV: 587-601).
Springer DOI 1210
Vertical order (sky ground) BibRef

Klowsky, R.[Ronny], Kuijper, A.[Arjan], Goesele, M.[Michael],
Modulation transfer function of patch-based stereo systems,
CVPR12(1386-1393).
IEEE DOI 1208
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Brewer, N., Liu, N., Wang, L.,
Stereo disparity calculation in real-world scenes with Informative Image Partitioning,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Sidhu, H.S.[Harkanwal Singh], Kumar, S.[Satish], Das, A.[Amitava], Sardana, H.K.,
A robust area based disparity estimation technique for stereo vision applications,
ICIIP11(1-4).
IEEE DOI 1112
BibRef

Dai, X.B.[Xian-Biao], Wang, L.[Liang], Cui, P.Y.[Ping-Yuan],
An improved region-growth algorithm for disparity estimation,
IASP10(411-414).
IEEE DOI 1004
BibRef

Wang, G.C.[Gui-Cai], Wang, L.[Liang], Cui, P.Y.[Ping-Yuan],
A Stereo Matching Algorithm Based on Image Segmentation and Features Point,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, Z.F.[Zeng-Fu], Zheng, Z.G.[Zhi-Gang],
A region based stereo matching algorithm using cooperative optimization,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Zhou, X.Z.[Xiu-Zhi], Wang, R.S.[Run-Sheng],
Symmetric Pixel-Group Based Stereo Matching for Occlusion Handling,
ICPR06(I: 47-50).
IEEE DOI 0609
Segement images on color and disparity and the regions in the other image. BibRef

Sun, J.[Jian], Li, Y.[Yin], Kang, S.B.[Sing Bing], Shum, H.Y.[Heung-Yeung],
Symmetric Stereo Matching for Occlusion Handling,
CVPR05(II: 399-406).
IEEE DOI 0507
Symmetry. BibRef

Delponte, E.[Elisabetta], Isgrň, F.[Francesco], Odone, F.[Francesca], Verri, A.[Alessandro],
Large Baseline Matching of Scale Invariant Features,
CIAP05(794-801).
Springer DOI 0509
BibRef

McKinnon, B.[Brian], Baltes, J.[Jacky],
Fast Line-Segment Extraction for Semi-dense Stereo Matching,
RobVis08(59-71).
Springer DOI 0802
BibRef

McKinnon, B.[Brian], Baltes, J.[Jacky],
Practical Region-Based Matching for Stereo Vision,
IWCIA04(726-738).
Springer DOI 0505
BibRef

Egnal, G.[Geoffrey], Mintz, M.[Max], Daniilidis, K.[Kostas],
Limiting the Search Range of Correlation Stereo Using Silhouettes,
VI02(170).
PDF File. 0208
BibRef

Zhang, Y., Kambhamettu, C.,
Stereo Matching with Segmentation-Based Cooperation,
ECCV02(II: 556 ff.).
Springer DOI 0205
BibRef

Tarel, J.P., and Vezien, J.M.,
A generic approach for planar patches stereo reconstruction,
SCIA95(II: 1061-1070). Regions are matched with distortions. Segment regions first. BibRef 9500

Tao, H.[Hai], Sawhney, H.S.[Harpreet S.], Kumar, R.[Rakesh],
A Global Matching Framework for Stereo Computation,
ICCV01(I: 532-539).
IEEE DOI 0106
BibRef

Tao, H.[Hai], Sawhney, H.S.[Harpreet S.],
Global Matching Criterion and Color Segmentation Based Stereo,
WACV00(246-253).
IEEE DOI 0010
Stereo analysis. Regions help the analysis. Compute depth. Warp (re-render, view based rendering) according to depth, copmare to iamge. Allow depth discontinuities at region boundaries. Very clean results. BibRef

Silva, C., Santos-Victor, J.,
Intrinsic Images for Dense Stereo Matching with Occlusions,
ECCV00(I: 100-114).
Springer DOI 0003
BibRef

Vestri, C.[Christoph], Devernay, F.[Frederic],
Improving Correlation-based DEMs by Image Warping and Facade Correlation,
CVPR00(I: 438-443).
IEEE DOI 0005
improve DEM by adding edge info BibRef

Morris, D.D.[Daniel D.], Kanade, T.[Takeo],
Image-Consistent Surface Triangulation,
CVPR00(I: 332-338).
IEEE DOI 0005
Refine stero model using surfaces BibRef

Maas, R.[Robert], ter Haar Romeny, B.M.[Bart M.], Viergever, M.A.[Max A.],
Area-Based Computation of Stereo Disparity with Model-Based Window Size Selection,
CVPR99(I: 106-112).
IEEE DOI BibRef 9900

Wei, G.Q.[Guo-Qing], and Hirzinger, G.[Gerd],
Intensity and Feature Based Stereo Matching by Disparity Parametrization,
ICCV98(1035-1040).
IEEE DOI BibRef 9800

Fusiello, A., Roberto, V., Trucco, E.,
Efficient Stereo with Multiple Windowing,
CVPR97(858-863).
IEEE Abstract.
IEEE DOI 9704
BibRef
And:
Experiments with a new area-based stereo algorithm,
CIAP97(I: 669-676).
Springer DOI 9709
To deal with occlusions. BibRef

Sara, R., Bajcsy, R.,
On Occluding Contour Artifacts in Stereo Vision,
CVPR97(852-857).
IEEE Abstract.
IEEE DOI 9704
Step edges cause problems in stereo. BibRef

Wiman, H.,
Automatic Generation of Digital Surface Models Through Matching in Object Space,
SSAB97(Photogrammetry) 9703
BibRef

Liu, J., and Huang, S.,
Using Topological Information of Images to Improve Stereo Matching,
CVPR93(653-654).
IEEE DOI BibRef 9300

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo and Surface Models .


Last update:Mar 16, 2024 at 20:36:19