Perkins, D.,
On Stereo Perception of Line Drawing Pairs,
Ph.D.Thesis, October 1970.
BibRef
7010
MITMath.
BibRef
Ayache, N.J., and
Faverjon, B.,
Efficient Registration of Stereo Images by
Matching Graph Descriptions of Edge Segments,
IJCV(1), No. 2, 1987, pp. 107-132.
Springer DOI
BibRef
8700
Earlier:
Fast Stereo Matching of Edges Segments Using Prediction and
Verification of Hypotheses,
CVPR85(662-664).
BibRef
And:
A Fast Stereovision Matcher Based on Prediction and
Recursive Verification of Hypothesis,
CVWS85(27-37).
Matching, Edges. Edge based stereo, match line segments and propagate to neighbors.
The most matches signals the best match. Starts with different
initial possible matches.
BibRef
Medioni, G.G.[Gerard G.],
Nevatia, R.[Ramakant],
Segment-Based Stereo Matching,
CVGIP(31), No. 1, July 1985, pp. 2-18.
Elsevier DOI
BibRef
8507
USC Computer Vision
PDF File.
BibRef
Earlier:
DARPA83(128-136).
Matching, Edges.
Similar idea to the stereo work of Baker, except that it uses the
entire segment in the matching process, not just individual
points. use stereo assumptions to limit the search area for
matching lines and do the complete search.
(
See also Matching Images Using Linear Features. )
BibRef
Grimson, W.E.L.,
Computing Stereopsis Using Feature Point Contour Matching,
T3DMP86(75-111).
BibRef
8600
Pollard, S.B.[Stephen B.],
Porrill, J.[John],
Mayhew, J.E.W.[John E.W.],
Frisby, J.P.[John P.],
Matching Geometrical Descriptions in Three-Space,
IVC(5), No. 2, May 1987, pp. 73-78.
Elsevier DOI Combine, edge-based stereo.
BibRef
8705
Thacker, N.A.[Neil A.],
Mayhew, J.E.W.[John E.W.],
Optimal Combination of
Stereo Camera Calibration from Arbitrary Stereo Images,
IVC(9), No. 1, February 1991, pp. 27-32.
Elsevier DOI
BibRef
9102
Earlier:
BMVC90(xx-yy).
PDF File.
9009
BibRef
Porrill, J.[John],
Pollard, S.B.[Stephen B.],
Mayhew, J.E.W.[John E.W.],
Optimal Combination of Multiple Sensors Including Stereo Vision,
IVC(5), No. 2, May 1987, pp. 174-180.
Elsevier DOI Multiple sources.
BibRef
8705
Pridmore, A.P.,
Porrill, J.[John],
Mayhew, J.E.W.[John E.W.],
Segmentation and Description of Binocularly Viewed Contours,
IVC(5), No. 2, May 1987, pp. 132-138.
Elsevier DOI
BibRef
8705
Pollard, S.B.,
Pridmore, T.P.,
Porrill, J.,
Mayhew, J.E.W.[John E.W.],
Frisby, J.P.[John P.],
Geometrical Modeling from Multiple Stereo Views,
IJRR(8), No. 4, 1989, pp. 3-32.
BibRef
8900
Pollard, S.B.[Stephen B.],
Porrill, J.[John],
Mayhew, J.E.W.[John E.W.],
Recovering Partial 3D Wire Frame Descriptions from Stereo Data,
IVC(9), No. 1, February 1991, pp. 58-65.
Elsevier DOI
BibRef
9102
Earlier:
BMVC90(xx-yy).
PDF File.
9009
BibRef
Pollard, S.B.,
Mayhew, J.E.W.[John E.W.],
Frisby, J.P.[John P.],
PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient Limit,
Perception(14), 1985, pp. 449-470.
Relaxation based matching scheme.
BibRef
8500
Sherman, D., and
Peleg, S.,
Stereo by Incremental Matching of Contours,
PAMI(12), No. 11, November 1990, pp. 1102-1106.
IEEE DOI Match portions of contours in the two images using order
constraints. From the set of partial contour matches, interpolate
disparities for the entire image and generate iso-depth contour map
and other displays.
BibRef
9011
Kass, M.,
Linear Image Features in Stereopsis,
IJCV(1), No. 4, January, 1988, pp. 357-368.
Springer DOI
BibRef
8801
Earlier:
AAAI-86(707-713).
Analysis of the effects of changing viewing position on the filter
output, and some justification for using edges for stereo.
BibRef
Nasrabadi, N.M.[Nasser M.],
Liu, Y.[Yi],
Stereo Vision Correspondence Using a Multichannel
Graph Matching Technique,
IVC(7), No. 4, November 1989, pp. 237-245.
Elsevier DOI
BibRef
8911
Nasrabadi, N.M.[Nasser M.],
A Stereo Vision Technique Using Curve-Segments
and Relaxation Matching,
PAMI(14), No. 5, May 1992, pp. 566-572.
IEEE DOI
BibRef
9205
Earlier:
with:
Chiang, J.L.,
ICPR88(I: 149-151).
IEEE DOI Uses zero-crossings in match.
BibRef
Brint, A.T.[Andrew T.],
Brady, M.[Michael],
Stereo Matching of Curves,
IVC(8), No. 1, February 1990, pp. 50-56.
Elsevier DOI
BibRef
9002
Kim, Y.C., and
Aggarwal, J.K.,
Positioning Three-Dimensional Objects Using Stereo Images,
RA(3), No. 4, August, 1987, pp. 361-373.
BibRef
8708
Earlier:
Finding Range From Stereo Images,
CVPR85(289-294).
(Univ. of Texas)
Relaxation. Using zero crossings, find the matching 3X3 patterns and apply a
relaxation scheme to get continuity between lines and along the
scan line. The 3-D information comes directly, only at matched
edges.
See also Rectangular Parallelepiped Coding: A Volumetric Representation of Three-Dimensional Objects.
BibRef
Jordan, III, J.R.[John R.],
Bovik, A.C.[Alan C.],
Using Chromatic Information in Dense Stereo Correspondence,
PR(25), No. 4, April 1992, pp. 367-383.
Elsevier DOI
BibRef
9204
Jordan, III, J.R.[John R.],
Bovik, A.C.[Alan C.],
Using Chromatic Information in Edge-Based Stereo Correspondence,
CVGIP(54), No. 1, July 1991, pp. 98-118.
Elsevier DOI
BibRef
9107
Earlier:
Computational Stereo Using Color,
SMC-C87(xx)
Edges, Color. Include color in addition to the usual intensity.
BibRef
Jordan, III, J.R.[John R.],
Bovik, A.C.[Alan C.],
Geisler, W.S.,
Chromatic Stereopsis,
IJCAI89(1649-1654).
BibRef
8900
And:
Chromaticity as a Source of Information in the Human Stereo
Correspondence Problem,
SMC-C87(xx).
BibRef
Kim, N.H.[Nak H.],
Bovik, A.C.[Alan C.],
A Contour-Based Stereo Matching Algorithm Using Disparity Continuity,
PR(21), No. 5, 1988, pp. 505-514.
Elsevier DOI Disparity continutiy along contour.
BibRef
8800
Krotkov, E.P.,
Henriksen, K., and
Kories, R.,
Stereo Ranging with Verging Cameras,
PAMI(12), No. 12, December 1990, pp. 1200-1205.
IEEE DOI
Active Vision, Vergence.
BibRef
9012
Pridmore, T.P.[Tony P.],
Mayhew, J.E.W.[John E.W.],
Frisby, J.P.[John P.],
Exploiting Image-Plane Data in the Interpretation of Edge-Based
Binocular Disparity,
CVGIP(52), No. 1, October 1990, pp. 1-25. Combine linked
Elsevier DOI edges in intensity and in disparity to improve the results in both.
BibRef
9010
Boyer, K.L.,
Wuescher, D.M.,
Sarkar, S.,
Dynamic Edge Warping: An Experimental System for Recovering
Disparity Maps in Weakly Constrained Systems,
SMC(21), 1991, pp. 143-158.
BibRef
9100
Earlier:
Dynamic Edge Warping:
Experiments in Disparity Estimation under Weak Constraints,
ICCV90(471-475).
IEEE DOI
BibRef
Crowley, J.L.,
Bobet, P., and
Sarachik, K.,
Dynamic World Modeling Using Vertical Line Stereo,
RobAS(6), June 1991, pp. xx.
BibRef
9106
Earlier:
ECCV90(241-246).
Springer DOI Vertical lines only, for indoor scenes.
BibRef
Kim, D.H.[Dong H.],
Park, R.H.[Rae-Hong],
Analysis Of Quantization-Error in Line-Based Stereo Matching,
PR(27), No. 7, July 1994, pp. 913-924.
Elsevier DOI
BibRef
9407
Kanade, T.,
Okutomi, M.,
A Stereo Matching Algorithm with an Adaptive Window:
Theory and Experiment,
PAMI(16), No. 9, September 1994, pp. 920-932.
IEEE DOI
BibRef
9409
Earlier:
DARPA90(383-398).
BibRef
And:
CRA91(1088-1095).
BibRef
And:
CMU-CS-TR-90-120, CMU CS Dept., April 1990.
BibRef
Okutomi, M., and
Kanade, T.,
A Locally Adaptive window for Signal Matching,
IJCV(7), No. 2, January 1992, pp. 143-162.
Springer DOI
BibRef
9201
And:
ICCV90(190-199).
IEEE DOI The match window is modified according to the variation of
intensity within the window.
BibRef
Dhond, U.R.,
Aggarwal, J.K.,
Stereo Matching in the Presence of Narrow Occluding Objects Using
Dynamic Disparity Search,
PAMI(17), No. 7, July 1995, pp. 719-724.
IEEE DOI
BibRef
9507
Earlier:
Computing stereo correspondences in the presence of narrow occluding
objects,
CVPR92(758-760).
IEEE DOI
0403
BibRef
And:
Analysis of the Stereo Correspondence Process in Scenes
with Narrow Occluding Objects,
ICPR92(I:470-473).
IEEE DOI Thin occluding objects violate the ordering constraint usually used.
Uses multiple disparity "pools" in matching.
BibRef
Dhond, U.R.,
Stereo Matching in the Presence of Narrow Occluding Objects,
Ph.D.ECS, August, 1992.
BibRef
9208
Univ. of Texas
BibRef
Ruichek, Y.,
Postaire, J.G.,
A Neural Matching Algorithm for 3-D Reconstruction from
Stereo Pairs of Linear Images,
PRL(17), No. 4, April 4 1996, pp. 387-398.
9605
See also New Neural Real-Time Implementation for Obstacle Detection using Linear Stereo Vision, A.
BibRef
Bigand, A.,
Bouwmans, T.,
Dubus, J.P.,
A new stereomatching algorithm based on linear features and the fuzzy
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PRL(22), No. 2, February 2001, pp. 133-146.
Elsevier DOI
0101
BibRef
Prakoonwit, S.[Simant],
Benjamin, R.[Ralph],
3D surface point and wireframe reconstruction from multiview
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IVC(25), No. 9, 1 September 2007, pp. 1509-1518.
Elsevier DOI
0707
3D reconstruction; Apparent contour; Contour generator; Epipolar;
Multiview; Space curve; Surface point; Wireframe
BibRef
Karimian, G.[Ghader],
Raie, A.A.[Abolghasem A.],
Faez, K.[Karim],
A New Efficient Stereo Line Segment Matching Algorithm Based on More
Effective Usage of the Photometric, Geometric and Structural
Information,
IEICE(E89-D), No. 7, July 2006, pp. 2012-2020.
DOI Link
0607
BibRef
Fotouhi, A.M.[Ali M.],
Raie, A.A.[Abolghasem A.],
An Efficient Local Stereo Matching Algorithm for Dense Disparity Map
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WWW Link.
0907
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Kim, H.W.[Hyun-Woo],
Lee, S.[Sukhan],
Simultaneous line matching and epipolar geometry estimation based on
the intersection context of coplanar line pairs,
PRL(33), No. 10, 15 July 2012, pp. 1349-1363.
Elsevier DOI
1205
Line matching; Scene modeling; Line coplanarity; Epipolar geometry
estimation
BibRef
Mosaddegh, S.[Saleh],
Fofi, D.[David],
Vasseur, P.[Pascal],
Two View Line-Based Motion and Structure Estimation for Planar Scenes,
ELCVIA(11), No. 1, 2012, pp. xx-yy.
DOI Link
1204
BibRef
Earlier:
Line based motion estimation and reconstruction of piece-wise planar
scenes,
WMVC11(658-663).
IEEE DOI
1101
See also Short baseline line matching for central imaging systems. 2 views, minimum line correspondences.
BibRef
Earlier:
Motion estimation and reconstruction of piecewise planar scenes from
two views,
IVCNZ10(1-7).
IEEE DOI
1203
BibRef
Ok, A.O.[Ali Ozgun],
Wegner, J.D.[Jan Dirk],
Heipke, C.[Christian],
Rottensteiner, F.[Franz],
Soergel, U.[Uwe],
Toprak, V.[Vedat],
Matching of straight line segments from aerial stereo images of urban
areas,
PandRS(74), No. 1, November 2012, pp. 133-152.
Elsevier DOI
1212
Image matching; Line segment matching; Stereo images; Aerial imagery;
Urban areas
BibRef
Cigla, C.[Cevahir],
Alatan, A.A.[A. Aydin],
Information permeability for stereo matching,
SP:IC(28), No. 9, 2013, pp. 1072-1088.
Elsevier DOI
1310
BibRef
Earlier:
Efficient edge-preserving stereo matching,
Dense11(696-699).
IEEE DOI
1201
Dense disparity map
BibRef
Cigla, C.[Cevahir],
Zabulis, X.[Xenophon],
Alatan, A.A.[A. Aydin],
Segment-Based Stereo-Matching Via Plane and Angle Sweeping,
3DTV07(1-4).
IEEE DOI
0705
BibRef
Cheng, F.Y.[Fei-Yang],
Zhang, H.[Hong],
Sun, M.[Mingui],
Yuan, D.[Ding],
Cross-trees, edge and superpixel priors-based cost aggregation for
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Elsevier DOI
1504
Stereo matching
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Li, Y.J.[Ying-Jiang],
Zhang, J.W.[Jian-Wei],
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An efficient stereo matching based on fragment matching,
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1906
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Li, Y.J.[Ying-Jiang],
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A fast temporal constraint semi-dense stereo matching method,
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Springer DOI
1908
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Yue, Y.[Yi],
Fang, T.[Tong],
Li, W.[Wen],
Chen, M.[Min],
Xu, B.[Bo],
Ge, X.M.[Xu-Ming],
Hu, H.[Han],
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Hierarchical Edge-Preserving Dense Matching by Exploiting Reliably
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2310
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Zhao, L.[Li],
Guo, F.C.[Feng-Cheng],
Zhu, Y.[Yi],
Wang, H.Y.[Hai-Yan],
Zhou, B.Q.[Bing-Qian],
A Generalized Voronoi Diagram-Based Segment-Point Cyclic Line Segment
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López, J.[Juan],
Fuciños, M.[María],
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Pardo, X.M.[Xosé M.],
Detection and Matching of Lines for Close-Range Photogrammetry,
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1307
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Song, L.M.[Li-Mei],
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A Thin Line Power Increase Stereo Matching Method Used in
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CISP09(1-4).
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0910
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Cai, L.L.[Li-Li],
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Local Stereo Matching with Edge-Based Cost Aggregation and Occlusion
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CISP09(1-4).
IEEE DOI
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Pagel, F.[Frank],
A Segment and Fusion-Based Stereo Approach,
CRV09(170-177).
IEEE DOI
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Fu, Z.L.[Zhong-Liang],
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Klaus, A.[Andreas],
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0609
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Evans, M.[Murray],
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Global-to-Local Histogram Match Culling for Epipolar Geometry
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AVSBS06(94-94).
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0611
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Ferryman, J.M.[James M.],
Cross Validation and Segment Support for Stereo Belief Propagati,
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IEEE DOI
0609
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Wang, K.[Kun],
Adaptive stereo matching algorithm based on edge detection,
ICIP04(II: 1345-1348).
IEEE DOI
0505
BibRef
Hong, L.[Li],
Chen, G.,
Segment-based stereo matching using graph cuts,
CVPR04(I: 74-81).
IEEE DOI
0408
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Jung, F.[Franck],
Tollu, V.[Vincent],
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Extracting 3D Edgels Hypotheses From Multiple Calibrated Images:
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PCV02(B: 100).
0305
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Alibhai, S.,
Zucker, S.W.,
Contour-based Correspondence for Stereo,
ECCV00(I: 314-330).
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0003
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Zhang, Z.Y.[Zheng-You],
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System and method for progressive stereo matching of digital images,
US_Patent7,106,899, Sep 12, 2006
WWW Link.
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And:
US_Patent7,164,790, Jan 16, 2007
WWW Link.
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And:
US_Patent7,272,256, Sep 18, 2007
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Shan, Y.[Ying],
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Corner Guided Curve Matching and its Application to Scene
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CVPR00(I: 796-803).
IEEE DOI
0005
contours contrained by corners!
BibRef
Kawai, Y.,
Tomita, F.,
Intensity Calibration for Stereo Images Based on Segment Correspondence,
MVA98(xx-yy).
BibRef
9800
Kawai, Y.[Yoshihiro],
Ueshiba, T.[Toshio],
Ishiyama, Y.[Yutaka],
Sumi, Y.S.[Yasu-Shi],
Tomita, F.[Fumiaki],
Stereo correspondence using segment connectivity,
ICPR98(Vol I: 648-651).
IEEE DOI
9808
Title was:
A New Method of Segment-Based Stereo Using Connectivity of Segments
BibRef
Schreer, O.[Oliver],
Hartmann, I.[Irmfried],
Adams, R.[Roger],
Analysis of grey-level features for line segment stereo matching,
CIAP97(I: 620-627).
Springer DOI
9709
BibRef
Srinivasan, R.,
Ramakrishnan, K.R.,
Sastry, P.S.,
A Contour Based Stereo Algorithm,
ICCV87(677-681).
BibRef
8700
Luo, A.,
Tao, W.,
Burkhardt, H.,
A New Multilevel Line-Based Stereo Vision Algorithm Based
on Fuzzy Techniques,
ICPR96(I: 383-387).
IEEE DOI
9608
(Mikroelektronik Anwendungszentrum GmbH, D)
BibRef
Ayache, N.J.,
Faugeras, O.D.[Olivier D.],
Faverjon, B., and
Toscani, G.,
Matching Depth Maps Obtained by Passive Stereo,
CVWS85(197-204).
The use of the stereo results from Ayache and Faverjon's papers.
Seems to be straightforward, choose a possible match and find how
many fit, search for the best. Similar to their stereo matching
algorithm.
BibRef
8500
Faugeras, O.D.[Olivier D.],
Ayache, N.J.,
Faverjon, B., and
Lustman, F.,
Building Visual Maps by Combining Noisy Stereo Measurements,
CRA86(1433-1438). Or is it 87?.
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8600
Faugeras, O.D.[Olivier D.],
Lustman, F.,
Identifying Planes for the Construction of the World Model of a
Mobile Robot,
ICPR86(162-164).
BibRef
8600
Li, Z.N.,
Zhang, D.,
Real-Time Line-Based Motion Stereo,
CRA93(367-372).
Parallel hierarchical pyramidal algorithm ; line-based motion stereo.
BibRef
9300
Ens, J., and
Li, Z.N.,
Real-Time Motion Stereo,
CVPR93(130-135).
IEEE DOI A real-time implementation of
multi-baseline stereo with transputer at each of the
lowest levels.
BibRef
9300
Ji, C.X.,
Zhang, Z.P.,
Stereo Match Based on Linear Feature,
ICPR88(II: 875-878).
IEEE DOI
BibRef
8800
Long Limozin, P.,
Giraudon, G.,
Stereo Matching Using Contextual Line Region Primitives,
ICPR86(974-977).
BibRef
8600
Burr, D.J., and
Chien, R.T.,
A System for Stereo Computer Vision with Geometric Models,
IJCAI77(583).
BibRef
7700
And: A1 only:
Ph.D.Univ. Illinois, 1977
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Stereo Systems: Multiple Resolutions, Hierarchical .