Levine, M.D.,
O'Handley, D.A., and
Yagi, G.M.,
Computer Determination of Depth Maps,
CGIP(2), No. 2, October 1973, pp. 131-150.
WWW Version.
Stereo, Epipolar. Looks along the scan line and uses the order to constrain the match.
If the constraints are there, stereo is easy.
This idea is used even more heavily by the later work.
BibRef
7310
O'Handley, D.A.,
Scene Analysis in Support of a Mars Rover,
CGIP(2), 1973, pp. 281-297.
BibRef
7300
Helava, U.V.[Unno V.],
Whiteside, A.E.[Arliss E.],
Brummn, G.A.[Gerald A.],
Parallel Line Scanning System for Stereomapping,
US_Patent3,901,595, Aug 1975
WWW Version.
BibRef
7508
Henderson, R.L.,
Miller, W.J., and
Grosch, C.B.,
Automatic Stereo Reconstruction of Man-Made Targets,
SPIE(186), Digital Processing of Aerial Images,
Huntsville, AL, May 1979, pp. 240-248.
Edge matching along epipolar lines. Matches both edges and
the points in between.
BibRef
7905
Baker, H.H.[Harlyn H.],
Edge-Based Stereo Correlation,
DARPA80(168-175). Early version of his work.
BibRef
8000
Baker, H.H., and
Binford, T.O.,
A System for Automated Stereo Mapping,
DARPA82(215-222).
This work uses edges in stereo views and uses the camera model
information to restrict the search to one scan line in the second
view. The final match is also constrained by the order of matching
edges along the scan line. The matching is performed at various
resolutions with the approximate low resolution results used by the
higher resolution matcher. Connectivity of edge points is used to
match points from one scan line to the next. Areas between matching
edges are filled in with intensity based correlation using
constraints from the edge based matching to limit the search.
BibRef
8200
Baker, H.H.[Harlyn H.],
Binford, T.O.[Thomas O.],
Malik, J.[Jitendra], and
Meller, J.F.[Jean-Frederic],
Progress in Stereo Mapping,
DARPA83(327-335).
Recent results of the edge based stereo system.
BibRef
8300
Baker, H.H., and
Binford, T.O.,
Depth from Edge and Intensity Based Stereo,
IJCAI81(631-636).
BibRef
8100
And: A1 only:
Ph.D.Thesis (CS Illinois), 1982.
BibRef
Stanford AIMemo 347, September 1982,
or Stanford CS Memo
BibRef
STAN-CS-82-930.
Matching, Edges. Initial matching based on the edges and stereo camera constraints
(order of edges and line in second image), with extensions to get
the areas between the edges based on intensity information.
Tested on synthetic images and terrain data.
BibRef
Ohta, Y.[Yuichi], and
Kanade, T.[Takeo],
Stereo by Intra- and Inter-scanline Search Using Dynamic Programming,
PAMI(7), No. 2, March 1985, pp. 139-154.
BibRef
8503
And:
CMU-CS-TR-83-162, CMU CS Dept., October, 1983.
BibRef
Earlier:
Stereo by Two-Level Dynamic Programming,
IJCAI85(1120-1126).
Matching, Edges. Uses rectified stereo pairs, (epipolars are horizontal straight
lines) and searches for matches in the same scanline only. The
inter-scanline search takes into account the dependency of
the adjacent lines, i.e. the scene is coherent.
BibRef
Lloyd, S.A.,
Binocular Stereo Algorithm Based on the Disparity-Gradient Limit and
Using Optimization Theory,
IVC(3), No. 4, November 1985, pp. 177-181.
WWW Version.
BibRef
8511
Lloyd, S.A.,
Haddow, E.R., and
Boyce, J.F.,
A Parallel Binocular Stereo Algorithm Utilizing Dynamic
Programming and Relaxation Labelling,
CVGIP(39), No. 2, August 1987, pp. 202-225.
WWW Version.
Relaxation. Using edge points and epi-polar geometry dynamic
programming is used to find potential matches for each scan line,
then relaxation is used between adjacent scan lines.
BibRef
8708
McKeown, D.M., and
Hsieh, Y.C.,
Hierarchical Waveform Matching:
A New Feature-Based Stereo Technique,
CVPR92(513-519).
IEEE Abstract. IEEE Top Reference. Scanline match with multiple resolutions.
BibRef
9200
Raju, G.V.S., and
Binford, T.O., and
Shekher, S.,
Stereo Matching Using Viterbi Algorithm,
DARPA87(766-776). Match
the surfaces between edges.
BibRef
8700
Takamura, J., and
Binford, T.O.,
Stereo Modeling System: A Geometric Modeling System
for Modeling Object Instance and Class,
DARPA84(302-307).
BibRef
8400
Lehner, M., and
Gill, R., 1992:
Semi-automatic derivation of digital
elevation models from stereoscopic 3-line scanner data,
ISPRS(29, B4), 1992, pp. 68-75.
BibRef
9200
Adjouadi, M.,
Candocia, F.,
A Stereo Matching Paradigm-Based on the Walsh Transformation,
PAMI(16), No. 12, December 1994, pp. 1212-1218.
IEEE Abstract. IEEE Top Reference.
WWW Version. Uses Walsh transform values rather than edges.
BibRef
9412
Candocia, F.,
Adjouadi, M.,
A Similarity Measure for Stereo Feature Matching,
IP(6), No. 10, October 1997, pp. 1460-1464.
IEEE DOI Link
9710
BibRef
Hongo, S.,
Sonehara, N.,
Yoroizawa, I.,
Edge-Based Binocular Stereopsis Algorithm:
A Matching Mechanism with Probabilistic Feedback,
NeurNet(9), No. 3, April 1996, pp. 379-395.
9605
BibRef
Bensrhair, A.,
Miche, P.,
Debrie, R.,
Fast and Automatic Stereo Vision Matching Algorithm-Based on
Dynamic-Programming Method,
PRL(17), No. 5, May 1 1996, pp. 457-466.
9606
BibRef
Lloyd, S.A.,
Stereo Matching Using Intra- and Inter-Row Dynamic Programming,
PRL(4), 1986, pp. 273-277.
BibRef
8600
Chuang, J.H.,
Chiu, J.M.,
Chen, Z.,
Obtaining Base Edge Correspondence in Stereo Images via
Quantitative Measures Along C-Diagonals,
PRL(18), No. 1, January 1997, pp. 87-95.
9704
BibRef
Goulermas, J.Y.,
Liatsis, P.,
Hybrid symbiotic genetic optimisation for robust edge-based stereo
correspondence.,
PR(34), No. 12, December 2001, pp. 2477-2496.
WWW Version.
0110
BibRef
Goulermas, J.Y.,
Liatsis, P.,
A new parallel feature-based stereo-matching algorithm with figural
continuity preservation, based on hybrid symbiotic genetic algorithms,
PR(33), No. 3, March 2000, pp. 529-531.
WWW Version.
0001
BibRef
Goulermas, J.Y.,
Liatsis, P.,
Fernando, T.,
A Constrained Nonlinear Energy Minimization Framework for the
Regularization of the Stereo Correspondence Problem,
CirSysVideo(15), No. 4, April 2005, pp. 550-565.
IEEE Abstract. IEEE Top Reference.
0501
BibRef
Moallem, P.[Payman],
Faez, K.[Karim],
Haddadnia, J.[Javad],
Fast Edge-Based Stereo Matching Algorithm through
Search Space Reduction,
IEICE(E85-D), No. 11, November 2002, pp. xx-yy.
BibRef
0211
Moallem, P.[Payman],
Faez, K.[Karim],
Haddadnia, J.,
Reduction of the Search Space Region in the Edge Based Stereo
Correspondence,
ICIP01(II: 149-152).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Moallem, P.,
Faez, K.,
Fast Edge-Based Stereo Matching Algorithm based
on Search Space Reduction,
NNSP02(587-596).
WWW Version.
BibRef
0200
Moallem, P.,
Faez, K.,
Search space reduction in the edge based stereo matching by context
of disparity gradient limit,
IWISPA01(164-169), Pula, Croacia, June 19-21, 2001.
BibRef
0106
Moallem, P.,
Faez, K.,
Search Space Reduction in the Edge Based Stereo Correspondence,
VMV01(xx-yy).
PDF Version.
0209
BibRef
Oisel, L.,
Memin, E.,
Morin, L.,
Galpin, F.,
One-dimensional dense disparity estimation for three-dimensional
reconstruction,
IP(12), No. 9, September 2003, pp. 1107-1119.
IEEE DOI Link
0308
BibRef
Oisel, L.,
Morin, L.,
Memin, E.,
Labit, C.,
Planar facets segmentation using a multiresolution dense disparity
field estimation,
ICIP98(II: 617-621).
IEEE DOI Link
9810
BibRef
Moallem, P.,
Faez, K.,
Effective Parameters in Search Space Reduction Used in a
Fast Edge-Based Stereo Matching,
JCSC(14), No. 2, 2005, pp. 249-266.
HTML Version.
BibRef
0500
Guan, S.S.[Shu-Shi],
Klette, R.[Reinhard],
Woo, Y.W.[Young W.],
Belief Propagation for Stereo Analysis of Night-Vision Sequences,
PSIVT09(932-943).
Springer DOI Link
0901
BibRef
Guan, S.S.[Shu-Shi],
Klette, R.[Reinhard],
Belief-Propagation on Edge Images for Stereo Analysis of Image
Sequences,
RobVis08(291-302).
Springer DOI Link
0802
BibRef
Sung, M.C.[Min Chul],
Lee, S.H.[Sang Hwa],
Cho, N.I.[Nam Ik],
Stereo Matching using Multi-Directional Dynamic Programming and Edge
Orientations,
ICIP07(I: 233-236).
IEEE DOI Link
0709
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 Link
0708
BibRef
Wu, C.C.[Chang-Chang],
Wang, Z.F.[Zeng-Fu],
Stereo Correspondence Using Stripe Adjacency Graph,
ICPR06(I: 123-126).
WWW Version.
0609
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
EpiPolar Analysis .