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BibRef
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CVPR86(9-14).
Uses general camera positions and combines the results to get more
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Dhond, U.R., and
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Stewart, C.V., and
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The Trinocular General Support Algorithm: A Three-Camera Stereo
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Ayache, N.J., and
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Trinocular Stereo Vision for Robotics,
PAMI(13), No. 1, January 1991, pp. 73-85.
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Stereo, Trinocular. More developed form of the following papers. Three camera
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BibRef
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BibRef
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Earlier: A2, A3 Only:
Fast and Reliable Passive Trinocular Stereovision,
ICCV87(422-427).
BibRef
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Trinocular Stereovision: Recent Results,
IJCAI87(826-828).
Extension of the 2 camera approach to 3, and an attempt to
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What Can Two Images Tell Us about a Third One?,
IJCV(18), No. 1, April 1996, pp. 5-19.
Springer DOI Link
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9604
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ECCV94(A:485-492).
Springer DOI Link
9605
BibRef
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Curve-Based Stereo: Figural Continuity and Curvature,
CVPR91(57-62).
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BibRef
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Everitt, J.H.,
Escobar, D.E.,
Cavazos, I.,
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Trinocular Stereovision by Generalized Hough Transform,
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Pieper, R.J.,
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Passive Range Estimation Using Dual-Base-Line Triangulation,
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Stein, G.P.[Gideon P.],
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9903
Earlier:
ECCV98(II: 862).
WWW Version.
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BibRef
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Direct Methods for Estimation of Structure and Motion from Three Views,
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IEEE Abstract.
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9704
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BibRef
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BibRef
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Geometric-Imprints: A Significant Points Extraction Method for the
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AFGR98(480-485).
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Given the corresponding points in 3 camera images, precise estimation of
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0111
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Batlle, J.[Joan],
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0208
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PhEngRS(72), No. 5, May 2006, pp. 551-564.
WWW Version.
0610
As an extension to stereo mapping, a 3D mapping approach which can
utilize multiple images was implemented, and its benefit was assessed
in representative case studies and in comparison to common 3D stereo mapping.
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1004
BibRef
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Critical configurations of lines to geometry determination of three
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ICPR08(1-5).
IEEE DOI Link
0812
BibRef
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Rank Classification of Linear Line Structure in Determining Trifocal
Tensor,
ECCV08(II: 733-744).
Springer DOI Link
0810
Linear line structures; Critical configurations; Image line transfer
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1006
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1011
3X3X3 tensors relating 3 cameras.
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1101
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Efficient Three-view Triangulation Based on 3D Optimization,
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PDF Version.
0809
BibRef
Earlier:
A Linear Mapping for Stereo Triangulation,
SCIA07(838-847).
Springer DOI Link
0706
BibRef
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Villanueva, J.J.[Juan J.],
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ICIP09(2089-2092).
IEEE DOI Link
0911
BibRef
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Rodehorst, V.,
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PIA07(185).
PDF Version.
0711
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0711
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PCV06(xx-yy).
PDF Version.
0609
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An Efficient Implementation Technique of Bidirectional Matching for
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0609
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0610
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3DPVT06(838-845).
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0606
BibRef
Earlier:
Three-View Dense Disparity Estimation with Occlusion Detection,
ICIP05(III: 393-396).
IEEE DOI Link
0512
BibRef
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Schaffalitzky, F.[Frederik],
Nistér, D.[David],
How Hard is 3-View Triangulation Really?,
ICCV05(I: 686-693).
IEEE DOI Link
0510
See also Four Points in Two or Three Calibrated Views: Theory and Practice.
BibRef
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Jia, Y.D.[Yun-De],
Wang, J.[Jing],
Zhang, X.X.[Xiao-Xun],
Li, M.X.[Ming-Xiang],
An efficient rectification method for trinocular stereovision,
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IEEE DOI Link
0409
BibRef
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Cech, J.,
Sara, R.,
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Hu, Z.,
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HTML Version.
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0312
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Habed, A.[Adlane],
Amintabar, A.[Amir],
Boufama, B.S.[Boubakeur S.],
Reconstruction-Free Parallel Planes Identification from Uncalibrated
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ICPR10(1828-1831).
IEEE DOI Link
1008
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Habed, A.[Adlane],
Three-dimensional reconstruction using the perpendicularity constraint,
3DIM07(241-248).
IEEE DOI Link
0708
2 images and perpendicular features.
BibRef
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Boufama, B.S.[Boubakeur S.],
Three-dimensional Projective Reconstruction from Three Views,
ICPR00(Vol I: 415-418).
IEEE DOI Link
0009
BibRef
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Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal
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ECCV00(I: 649-663).
WWW Version.
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A Minimal Set of Constraints for the Trifocal Tensor,
ECCV00(I: 84-99).
WWW Version.
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Euclidean Reconstruction from an Image Triplet: A Sensitivity Analysis,
ICPR98(Vol I: 835-837).
IEEE DOI Link
9808
BibRef
Williamson, T.[Todd],
Thorpe, C.E.[Charles E.],
A Specialized Multibaseline Stereo Technique for Obstacle Detection,
CVPR98(238-244).
IEEE Abstract.
Obstacle Dtection. Detects small obstacles on the road.
BibRef
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Williamson, T.[Todd],
Thorpe, C.E.[Charles E.],
Detection of Small Obstacles at Long Range Using Multibaseline Stereo,
DARPA98(1255-1260).
The real problem is small obstacles in roads do not show up soon enough.
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Williamson, T.,
A High-Performance Stereo Vision System for Obstacle Detection,
CMU-RI-TR-98-24, September, 1998.
HTML Version.
BibRef
9809
Faugeras, O.D., and
Papadopoulo, T.,
A Nonlinear Method for Estimating the Projective Geometry
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ICCV98(477-484).
IEEE DOI Link
BibRef
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Gaussman-Caylay Algebra for Modeling Systems of Cameras and the
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INRIA3225, 1997.
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Farag, A.A.,
A geometrical-based trinocular vision system for edges reconstruction,
ICIP98(II: 162-166).
IEEE DOI Link
9810
BibRef
Gemmerle, D.,
Filbois, A.,
Chabbi, H.,
Construction of 3D Views from Stereoscopic Triplets of Images,
ICIP94(II: 715-719).
IEEE DOI Link
9411
BibRef
Ma, S.D.,
Li, L.,
Ellipsoid Reconstruction from Three Perspective Views,
ICPR96(I: 344-348).
IEEE DOI Link
9608
(Chinese Academy of Sciences, PRC)
BibRef
Rieder, A.,
Trinocular Divergent Stereo Vision,
ICPR96(I: 859-863).
IEEE DOI Link
9608
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BibRef
Yang, D.,
Illingworth, J.,
Line Based Trinocular Stereo,
BMVC92(327-336).
PDF Version.
BibRef
9200
Yang, D.,
Illingworth, J.,
Estimating Rigid 3D Motion by Stereo Fixation of Vertices,
BMVC93(xx-yy).
PDF Version. Univ of Surrey.
BibRef
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Sugimoto, K.,
Takahashi, H., and
Tomita, F.,
Integration and Interpretation of Incomplete Stereo Scene Data,
CVPR91(683-685).
IEEE Abstract. Three different views.
BibRef
9100
Sugimoto, K.,
Takahashi, M.,
Tomita, F.,
Scene Interpretation Based on Boundary Representations
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ICPR88(I: 155-159).
IEEE DOI Link
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BibRef
8800
Pietikainen, M., and
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Depth from Three Camera Stereo,
CVPR86(2-8).
BibRef
8600
And:
Multiple-Camera Contour Stereo,
ICPR86(1269-1272).
Basic method, use up-down for the problems of left-right matching.
BibRef
Gimel'Farb, G.L.,
Intensity-Based Bi- And Trinocular Stereo Vision:
Bayesian Decisions and Regularizing Assumptions,
ICPR94(A:717-719).
IEEE DOI Link
BibRef
9400
Shawky, M.,
Hou, K.M.,
Tu, X.W.,
A Trinocular Vision System For A Mobile Robot,
ICPR92(IV:66-69).
IEEE DOI Link
BibRef
9200
Milenkovic, V.J.[Victor J.], and
Kanade, T.,
Trinocular Vision Using Photometric and Edge Orientation Constraints,
DARPA85(153-175).
Three images (L, R, Up) give more constraints than 2.
Also there is no problem with the horizontal or vertical line orientations.
BibRef
8500
Gerhard, A.,
Platzer, H.,
Steurer, J.,
Lenz, R.,
Depth Extraction by Stereo Triples and a Fast Correspondence
Estimation Algorithm,
ICPR86(512-515).
BibRef
8600
Gurewitz, E.,
Dinstein, I.,
Sarusi, B.,
More on the Benefit of a Third Eye for Machine Stereo Perception,
ICPR86(966-968).
BibRef
8600
Yachida, M.,
Kitamura, Y.,
Kimachi, M.,
Trinocular Vision: New Approach for Correspondence Problem,
ICPR86(1041-1044).
BibRef
8600
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Multiple Cameras or Views, Multi-Baseline .