10.1.8 Stereo Analysis: Regions, Combine Area and Edge

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

Fleck, M.M.,
A Topological Stereo Matcher,
IJCV(6), No. 3, August 1991, pp. 197-226.
Springer DOI Link 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.
Postscript Version. BibRef 9500

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 Abstract. IEEE Top Reference.
WWW Version.
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,
CVWS87(333-335). BibRef 8700 USC Computer Vision
HTML Version. BibRef
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 Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Link 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., Mayhew, J.E.W., Frisby, J.P.,
Stereoscopic Recovery and Description of Smooth Textured Surfaces,
IVC(9), No. 1, February 1991, pp. 20-26.
WWW Version. BibRef 9102
Earlier: BMVC90(xx-yy).
PDF Version. 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.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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.
HTML Version. 0001
BibRef

Boufama, B.S.[Boubakeur S.],
Using geometry towards stereo dense matching,
PR(33), No. 5, May 2000, pp. 871-873.
WWW Version. 0003
BibRef
Earlier:
The Use of Homographies for View Synthesis,
ICPR00(Vol I: 563-566).
IEEE DOI Link
HTML Version. 0009
BibRef

Boufama, B., O'Connell, D.,
Region segmentation and matching in stereo images,
ICPR02(III: 631-634).
IEEE DOI Link 0211
BibRef

Amintabar, A.[Amirhasan], Boufama, B.[Boubakeur],
The Distinction between Virtual and Physical Planes Using Homography,
ICIAR09(727-736).
Springer DOI Link 0907
BibRef
Earlier:
Homography-based plane identification and matching,
ICIP08(297-300).
IEEE DOI Link 0810
BibRef

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,
PR(33), No. 5, May 2000, pp. 767-785.
WWW Version. 0003
BibRef

López, A.[Angeles], Pla, F.[Filiberto],
Dealing with segmentation errors in region-based stereo matching,
PR(33), No. 8, August 2000, pp. 1325-1338.
WWW Version. 0005
BibRef

Moravec, K., Harvey, R., Bangham, J.A.,
Scale trees for stereo vision,
VISP(147), No. 4, 2000, pp. 363-375. 0010
BibRef

Moravec, K.[Kimberly], Harvey, R.[Richard], Bangham, J.A.[J. Andrew], Fisher, M.H.[Mark H.],
Using an Image Tree to Assist Stereo Matching,
ICIP99(I:26-30).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Bangham, J.A., Moravec, K., Harvey, R.,
Scale-Space Trees and Applications as Filters for Stereo Vision and Image Retrieval,
BMVC99(Image Matching and Retrieval).
PDF Version. BibRef 9900

Moravec, K., Harvey, R., 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],
Fast Approximate Energy Minimization via Graph Cuts,
PAMI(23), No. 11, November 2001, pp. 1222-1239.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0112
BibRef
Earlier: ICCV99(377-384).
IEEE DOI Link BibRef
Earlier:
Disparity Component Matching for Visual Correspondence,
CVPR97(470-475).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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. BibRef

Veksler, O.[Olga],
Dense Features for Semi-Dense Stereo Correspondence,
IJCV(47), No. 1-3, April-June 2002, pp. 247-260.
WWW Version. 0203
BibRef
Earlier:
Semi-Dense Stereo Correspondence with Dense Features,
CVPR01(II:490-497).
IEEE Abstract. IEEE Top Reference. 0110
BibRef
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,
EMMCVPR09(1-13).
Springer DOI Link 0908
BibRef
Earlier:
Graph Cut Based Optimization for MRFs with Truncated Convex Priors,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
Earlier:
Reducing Search Space for Stereo Correspondence with Graph Cuts,
BMVC06(II:709).
PDF Version. 0609
BibRef
Earlier:
Extracting dense features for visual correspondence with graph cuts,
CVPR03(I: 689-694).
IEEE Abstract. IEEE Top Reference. 0307
BibRef

Veksler, O.[Olga],
Stereo Correspondence by Dynamic Programming on a Tree,
CVPR05(II: 384-390).
IEEE DOI Link 0507
BibRef

Delong, A.[Andrew], Boykov, Y.[Yuri],
A Scalable graph-cut algorithm for N-D grids,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

di Stefano, L.[Luigi], Marchionni, M.[Massimiliano], Mattoccia, S.[Stefano],
A Fast Area-Based Stereo Matching Algorithm,
IVC(22), No. 12, 1 October 2004, pp. 983-1005.
WWW Version. 0409
BibRef
Earlier: Add A4: Neri, G.[Giovanni], VI02(146).
PDF Version. 0208
BibRef

di Stefano, L., Mattoccia, S., Neri, G., Piccinni, D.,
Temporal filtering of disparity measurements,
CIAP01(145-150).
IEEE Top Reference. 0210
BibRef

Bleyer, M.[Michael], Gelautz, M.[Margrit],
A layered stereo matching algorithm using image segmentation and global visibility constraints,
PandRS(59), No. 3, May 2005, pp. 128-150.
WWW Version. 0509
BibRef
Earlier:
A layered stereo algorithm using image segmentation and global visibility constraints,
ICIP04(V: 2997-3000).
IEEE DOI Link 0505
BibRef

Bleyer, M.[Michael], Gelautz, M.[Margrit],
Graph-cut-based stereo matching using image segmentation with symmetrical treatment of occlusions,
SP:IC(22), No. 2, February 2007, pp. 127-143.
WWW Version. 0704
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,
DAGM06(465-474).
Springer DOI Link 0610
BibRef

Ogale, A.S.[Abhijit S.], Aloimonos, Y.[Yiannis],
Shape and the Stereo Correspondence Problem,
IJCV(65), No. 3, December 2005, pp. 147-162.
Springer DOI Link or:
PDF Version. 0601
Code, Stereo. BibRef
Earlier:
Robust contrast invariant stereo correspondence,
CRA05(xx-yy).
PDF Version. BibRef
The influence of shape on image correspondence,
3DPVT04(945-952).
IEEE Abstract. IEEE Top Reference. 0412
BibRef
And:
Stereo Correspondence with Slanted Surfaces: Critical Implications of Horizontal Slant,
CVPR04(I: 568-573).
IEEE Abstract. IEEE Top Reference. Or:
PDF Version. 0408
Related code is also available:
HTML Version. BibRef

Manizade, K.F., Spinhirne, J.D., Lancaster, R.S.,
Stereo Cloud Heights From Multispectral IR Imagery via Region-of-Interest Segmentation,
GeoRS(44), No. 9, September 2006, pp. 2481-2491.
IEEE DOI Link 0609
BibRef

El Ansari, M.[Mohamed], Masmoudi, L.[Lhoussaine], Bensrhair, A.[Abdelaziz],
A new regions matching for color stereo images,
PRL(28), No. 13, 1 October 2007, pp. 1679-1687.
WWW Version. 0709
Stereo vision; Region matching; Color stereo images 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 Link 0806
BibRef

Iqbal, R.N.[Rao Naveed], Khan, M.J.[M. Junaid],
Wide baseline stereo based on background modeling,
ICMV07(12-17).
IEEE DOI Link 0712
BibRef

Tombari, F.[Federico], Mattoccia, S.[Stefano], di Stefano, L.[Luigi], Addimanda, E.[Elisa],
Near real-time stereo based on effective cost aggregation,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And:
Classification and evaluation of cost aggregation methods for stereo correspondence,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Tombari, F.[Federico], Mattoccia, S.[Stefano], di Stefano, L.[Luigi],
Segmentation-Based Adaptive Support for Accurate Stereo Correspondence,
PSIVT07(427-438).
Springer DOI Link 0712
BibRef

Kanazawa, Y., Uemura, K.,
Wide Baseline Matching using Triplet Vector Descriptor,
BMVC06(I:267).
PDF Version. 0609
BibRef

Munguía, R., Grau, A., Sanfeliu, A.,
Matching Images Features in a Wide Base Line with ICA Descriptors,
ICPR06(II: 159-162).
WWW Version. 0609
BibRef

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

Kim, J.C.[Jae Chul], Lee, K.M.[Kyoung Mu], Choi, B.T.[Byoung Tae], Lee, S.U.[Sang Uk],
A Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points,
CVPR05(II: 1075-1082).
IEEE DOI Link 0507
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 Link 0507
Symmetry. BibRef

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

Xie, J.[Jun], Tsui, H.T.[Hung Tat],
Wide Baseline Stereo Matching by Corner-Edge-Regions,
ICIAR04(I: 713-720).
WWW Version. 0409
BibRef

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

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

Chetverikov, D., Megyesi, Z., Janko, Z.,
Finding region correspondences for wide baseline stereo,
ICPR04(IV: 276-279).
IEEE DOI Link 0409
See also Enhanced surface reconstruction from wide baseline images. BibRef

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

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

Tell, D., Carlsson, S.,
Combining Appearance and Topology for Wide Baseline Matching,
ECCV02(I: 68 ff.).
HTML Version. 0205
BibRef
Earlier:
Wide Baseline Point Matching using Affine Invariants Computed from Intensity Profiles,
ECCV00(I: 814-828).
WWW Version. 0003
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 Link 0106
BibRef

Tao, H.[Hai], Sawhney, H.S.[Harpreet S.],
Global Matching Criterion and Color Segmentation Based Stereo,
WACV00(246-253).
IEEE Abstract. IEEE Top Reference. 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).
WWW Version. 0003
BibRef

Vestri, C.[Christoph], Devernay, F.[Frederic],
Improving Correlation-based DEMs by Image Warping and Facade Correlation,
CVPR00(I: 438-443).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Link BibRef 9800

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

Sara, R., Bajcsy, R.,
On Occluding Contour Artifacts in Stereo Vision,
CVPR97(852-857).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference. BibRef 9300

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