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.
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., and
Nevatia, R.,
Segment-Based Stereo Matching,
CVGIP(31), No. 1, July 1985, pp. 2-18.
BibRef
8507
USC Computer Vision
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
Sherman, D., and
Peleg, S.,
Stereo by Incremental Matching of Contours,
PAMI(12), No. 11, November 1990, pp. 1102-1106.
IEEE Abstract. IEEE Top Reference.
WWW Version. 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.
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.,
Liu, Y.,
Stereo Vision Correspondence Using a Multichannel
Graph Matching Technique,
IVC(7), No. 4, November 1989, pp. 237-245.
WWW Version.
BibRef
8911
Nasrabadi, N.M.,
A Stereo Vision Technique Using Curve-Segments
and Relaxation Matching,
PAMI(14), No. 5, May 1992, pp. 566-572.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9205
Earlier:
with:
Chiang, J.L.,
ICPR88(I: 149-151).
WWW Version.
IEEE Top Reference. Uses zero-crossings in match.
BibRef
Brint, A.T.,
Brady, M.,
Stereo Matching of Curves,
IVC(8), No. 1, February 1990, pp. 50-56.
WWW Version.
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.,
Bovik, A.C.,
Using Chromatic Information in Dense Stereo Correspondence,
PR(25), No. 4, April 1992, pp. 367-383.
WWW Version.
BibRef
9204
Jordan, III, J.R., and
Bovik, A.C.,
Using Chromatic Information in Edge-Based Stereo Correspondence,
CVGIP(54), No. 1, July 1991, pp. 98-118.
WWW Version.
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.,
Bovik, A.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., and
Bovik, A.C.,
A Contour-Based Stereo Matching Algorithm Using Disparity Continuity,
PR(21), No. 5, 1988, pp. 505-514.
WWW Version.
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 Abstract. IEEE Top Reference.
WWW Version.
Active Vision, Vergence.
BibRef
9012
Pridmore, T.P.,
Mayhew, J.E.W., and
Frisby, J.P.,
Exploiting Image-Plane Data in the Interpretation of Edge-Based
Binocular Disparity,
CVGIP(52), No. 1, October 1990, pp. 1-25. Combine linked
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).
WWW Version.
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).
WWW Version. Vertical lines only, for indoor scenes.
BibRef
Kim, D.H.,
Park, R.H.,
Analysis Of Quantization-Error in Line-Based Stereo Matching,
PR(27), No. 7, July 1994, pp. 913-924.
WWW Version.
BibRef
9407
Lee, S.H.,
Leou, J.J.,
A Dynamic-Programming Approach to Line Segment Matching in
Stereo Vision,
PR(27), No. 8, August 1994, pp. 961-986.
WWW Version.
BibRef
9408
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 Abstract. IEEE Top Reference.
WWW Version.
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.
BibRef
9201
And:
ICCV90(190-199).
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version.
BibRef
9507
Earlier:
Computing stereo correspondences in the presence of narrow occluding
objects,
CVPR92(758-760).
IEEE Abstract. IEEE Top Reference.
0403
BibRef
And:
Analysis of the Stereo Correspondence Process in Scenes
with Narrow Occluding Objects,
ICPR92(I:470-473).
WWW Version. 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
Li, Z.N.,
Stereo Correspondence Based on Line Matching in
Hough Space Using Dynamic Programming,
SMC(24), 1994, pp. 144-152.
BibRef
9400
Yip, R.K.K.[Raymond K.K.],
Ho, W.P.,
A multi-level dynamic programming method for stereo line matching,
PRL(19), No. 9, 31 July 1998, pp. 839-855.
BibRef
9807
Yip, R.K.K.[Raymond K.K.],
Ho, W.P.[Wing-Ping],
Multi-Level Based Stereo Line Matching with Structural Information
Using Dynamic Programming,
ICIP96(II: 341-344).
WWW Version.
BibRef
9600
Chan, T.S.,
Yip, R.K.K.,
Line Segment Detection Algorithm,
ICPR96(II: 126-130).
WWW Version.
9608(City Univ. of Hong Kong, HK)
BibRef
Ho, W.P.,
Yip, R.K.K.,
A Dynamic Programming Approach for Stereo Line Matching with
Structural Information,
ICPR96(I: 791-794).
WWW Version.
9608(City Univ. of Hong Kong, HK)
BibRef
Yip, R.K.K.[Raymond K.K.],
A Multi-Level Dynamic Programming Method for Line Segment Matching in
Axial Motion Stereo,
PR(31), No. 11, November 1998, pp. 1653-1668.
WWW Version.
BibRef
9811
Earlier:
Multi-level dynamic programming for axial motion stereo line matching,
CIAP97(I: 612-619).
WWW Version.
9709
BibRef
Bigand, A.,
Bouwmans, T.,
Dubus, J.P.,
A new stereomatching algorithm based on linear features and the fuzzy
integral,
PRL(22), No. 2, February 2001, pp. 133-146.
0101
BibRef
Prakoonwit, S.[Simant],
Benjamin, R.[Ralph],
3D surface point and wireframe reconstruction from multiview
photographic images,
IVC(25), No. 9, 1 September 2007, pp. 1509-1518.
WWW Version.
07073D reconstruction; Apparent contour; Contour generator; Epipolar;
Multiview; Space curve; Surface point; Wireframe
BibRef
Klaus, A.[Andreas],
Sormann, M.[Mario],
Karner, K.[Konrad],
Segment-Based Stereo Matching Using Belief Propagation and a
Self-Adapting Dissimilarity Measure,
ICPR06(III: 15-18).
WWW Version.
0609
BibRef
Evans, M.[Murray],
Ferryman, J.M.[James M.],
Global-to-Local Histogram Match Culling for Epipolar Geometry
Estimation,
AVSBS06(94-94).
WWW Version.
0611
BibRef
Evans, M.[Murray],
Ferryman, J.M.[James M.],
Cross Validation and Segment Support for Stereo Belief Propagati,
ICPR06(I: 115-118).
WWW Version.
0609
BibRef
Deng, Y.[Yi],
Lin, X.Y.[Xue-Yin],
A Fast Line Segment Based Dense Stereo Algorithm Using Tree Dynamic
Programming,
ECCV06(III: 201-212).
WWW Version.
0608
BibRef
Wang, K.[Kun],
Adaptive stereo matching algorithm based on edge detection,
ICIP04(II: 1345-1348).
WWW Version.
0505
BibRef
Hong, L.[Li],
Chen, G.,
Segment-based stereo matching using graph cuts,
CVPR04(I: 74-81).
IEEE Abstract. IEEE Top Reference.
0408
BibRef
Jung, F.[Franck],
Tollu, V.[Vincent],
Paparoditis, N.[Nicolas],
Extracting 3D Edgels Hypotheses From Multiple Calibrated Images:
A Step Towards Curved Objects Boundary Lines Reconstruction,
PCV02(B: 100).
0305
BibRef
Alibhai, S.,
Zucker, S.W.,
Contour-based Correspondence for Stereo,
ECCV00(I: 314-330).
WWW Version.
0003
BibRef
Shan, Y.[Ying],
Zhang, Z.Y.[Zheng-You],
Corner Guided Curve Matching and its Application to Scene
Reconstruction,
CVPR00(I: 796-803).
IEEE Abstract. IEEE Top Reference.
WWW Version.
0005contours contrained by corners!
BibRef
Ueshiba, T.,
Kawai, Y.,
Sumi, Y.,
Tomita, F.,
Ishiyama, Y.,
An Efficient Matching Algorithm for Segment-based Stereo Vision Using
Dynamic Programming Technique,
MVA98(xx-yy).
BibRef
9800
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).
WWW Version.
9808Title 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).
WWW Version.
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).
WWW Version.
9608(Mikroelektronik Anwendungszentrum GmbH, D)
BibRef
Ayache, N.J.,
Faugeras, O.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.,
Ayache, N.J.,
Faverjon, B., and
Lustman, F.,
Building Visual Maps by Combining Noisy Stereo Measurements,
CRA86(1433-1438). Or is it 87?.
BibRef
8600
Faugeras, O.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 Abstract. IEEE Top Reference. 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).
WWW Version.
IEEE Top Reference.
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:
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 .