Ito, M., and
Ishii, A.,
Range and Shape Measurement Using Three-View Stereo Analysis,
PAMI(8), No. 4, July 1986, pp. 524-532.
BibRef
8607
Earlier:
CVPR86(9-14).
Uses general camera positions and combines the results to get more
stable matching and finally more accurate and complete results.
BibRef
Chiou, R.N.,
Chen, C.H.,
Hung, K.C.,
Lee, J.Y.,
The Optimal Camera Geometry and Performance Analysis of a
Trinocular Vision System,
SMC(25), No. 8, August 1995, pp. 1207-1220.
BibRef
9508
Hung, K.C.,
Chiou, R.N.,
Shyi, C.N.,
Lee, J.Y.,
Chen, C.H.,
Polyhedron Reconstruction Using Three-View Analysis,
PR(22), No. 3, 1989, pp. 231-246.
WWW Version.
BibRef
8900
Guo, J.K.[Jinn-Kwei],
Chen, C.H.[Chin-Hsing],
Lee, J.D.[Jiann-Der],
Multi-polyhedron reconstruction in a three-view system using relaxation,
SP(77), No. 2, 1 September 1999, pp. 171-193.
BibRef
9909
Chiou, R.N.,
Hung, K.C.,
Guo, J.K.,
Chen, C.H.,
Fan, T.I.,
Lee, J.Y.,
Polyhedron Recognition Using Three-View Analysis,
PR(25), No. 1, January 1992, pp. 1-16.
WWW Version.
BibRef
9201
Dhond, U.R., and
Aggarwal, J.K.,
A Cost-Benefit Analysis of a Third Camera for Stereo Correspondence,
IJCV(6), No. 1, April 1991, pp. 39-58.
Reduces errors by half, increases computation by a fourth.
BibRef
9104
Stewart, C.V., and
Dyer, C.R.,
The Trinocular General Support Algorithm: A Three-Camera Stereo
Algorithm for Overcoming Binocular Matching Errors,
ICCV88(134-138).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Zhang, Z.,
Faugeras, O.D., and
Ayache, N.J.,
Analysis of a Sequence of Stereo Scenes Containing Multiple
Moving Objects Using Rigidity Constraints,
ICCV88(177-186).
IEEE Abstract. IEEE Top Reference. Use the trinocular stereo system to generate depth images, match
these and mark as moving anything that is not consistent.
BibRef
8800
Ayache, N.J., and
Lustman, F.,
Trinocular Stereo Vision for Robotics,
PAMI(13), No. 1, January 1991, pp. 73-85.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Stereo, Trinocular. More developed form of the following papers. Three camera
system for a mobile robot. Construct a 3-D representation of the matching
segments in the three views. Uses a calibrated camera system to simplify final
computations. Large number of results.
BibRef
9101
Hansen, C.,
Ayache, N.J., and
Lustman, F.,
Towards Real-Time Trinocular Stereo,
ICCV88(129-133).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Earlier: A2, A3 Only:
Fast and Reliable Passive Trinocular Stereovision,
ICCV87(422-427).
BibRef
And:
Trinocular Stereovision: Recent Results,
IJCAI87(826-828).
Extension of the 2 camera approach to 3, and an attempt to
perform the operations in real time. (Calibrate and rectify the
images then use epipolar lines.)
BibRef
Faugeras, O.D.,
Robert, L.,
What Can Two Images Tell Us about a Third One?,
IJCV(18), No. 1, April 1996, pp. 5-19.
BibRef
9604
Earlier:
ECCV94(A:485-492).
WWW Version.
9605
BibRef
Robert, L., and
Faugeras, O.D.,
Curve-Based Stereo: Figural Continuity and Curvature,
CVPR91(57-62).
IEEE Abstract. IEEE Top Reference. Using curvature in the match of contours and lines.
BibRef
9100
Everitt, J.H.,
Escobar, D.E.,
Cavazos, I.,
Noriega, J.R.,
Davis, M.R.,
A 3-Camera Multispectral Digital Video Imaging-System,
RSE(54), No. 3, December 1995, pp. 333-337.
BibRef
9512
Shen, J.,
Paillou, P.,
Trinocular Stereovision by Generalized Hough Transform,
PR(29), No. 10, October 1996, pp. 1661-1672.
WWW Version.
Hough Transform.
BibRef
9610
Pieper, R.J.,
Cooper, A.W.,
Pelegris, G.,
Passive Range Estimation Using Dual-Base-Line Triangulation,
OptEng(35), No. 3, March 1996, pp. 685-692.
BibRef
9603
Stein, G.P.[Gideon P.],
Shashua, A.[Amnon],
On Degeneracy of Linear Reconstruction From Three Views:
Linear Line Complex and Applications,
PAMI(21), No. 3, March 1999, pp. 244-251.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9903
Earlier:
ECCV98(II: 862).
WWW Version.
Trilinear Tensor.
BibRef
Earlier:
Direct Methods for Estimation of Structure and Motion from Three Views,
CVPR97(400-406).
IEEE Abstract. IEEE Top Reference.
WWW Version.
9704
BibRef
And:
DARPA97(889-892).
BibRef
And:
MIT AI Memo-1594, 1995.
WWW Version. CVPR 97 paper
A Linear Line Complex structure occurs in motion along line of sight.
See also Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion.
BibRef
Faugeras, O.D.,
Luong, Q.T., and
Papadopoulo, T.,
The Geometro of Multiple Images,
MIT Press2001.
BibRef
0100
Semwal, S.K.[Sudhanshu K.],
Ohya, J.[Jun],
Spatial Filtering Using the Active-Space Indexing Method,
GM(63), No. 3, May 2001, pp. 135-150.
WWW Version.
BibRef
0105
Earlier:
Geometric-Imprints: A Significant Points Extraction Method for the
Scan&Track Virtual Environment,
AFGR98(480-485).
WWW Version. Camera based position estimation. Use a large number of points in a 3D grid.
Given the corresponding points in 3 camera images, precise estimation of
position.
0111
BibRef
Agrawal, M.[Motilal],
Davis, L.S.[Larry S.],
Trinocular Stereo Using Shortest Paths and the Ordering Constraint,
IJCV(47), No. 1-3, April-June 2002, pp. 43-50.
WWW Version.
0203
BibRef
SMBV01(xx-yy).
01103 Cameras, right angle configuration.
Dynamic Programming approach.
(Note Davis was partially left off the web version.)
BibRef
Garcia, R.[Rafael],
Batlle, J.[Joan],
Salvi, J.[Joaquim],
A New Approach to Pose Detection using a Trinocular Stereovision System,
RealTimeImg(8), No. 2, April 2002, pp. 73-93.
WWW Version.
0208
BibRef
Raggam, H.[Hannes],
Surface Mapping Using Image Triplets: Case Studies and Benefit
Assessment in Comparison to Stereo Image Processing,
PhEngRS(72), No. 5, May 2006, pp. 551-564.
WWW Version.
0610As 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.
BibRef
Byröd, M.[Martin],
Josephson, K.[Klas],
Åström, K.[Kalle],
Fast Optimal Three View Triangulation,
ACCV07(II: 549-559).
WWW Version.
0711
BibRef
Heinrichs, M.[Matthias],
Rodehorst, V.[Volker],
Trinocular Rectification for Various Camera Setups,
PCV06(xx-yy).
PDF Version.
0609
BibRef
Ueshiba, T.[Toshio],
An Efficient Implementation Technique of Bidirectional Matching for
Real-time Trinocular Stereo Vision,
ICPR06(I: 1076-1079).
WWW Version.
0609
BibRef
Huang, X.D.[Xiao-Dong],
Dubois, E.,
3D Reconstruction Based on a Hybrid Disparity Estimation Algorithm,
ICIP06(1025-1028).
0610
WWW Version.
BibRef
And:
Region-Based Motion Analysis and 3D Reconstruction for a Translational
Video Sequence,
3DPVT06(838-845).
WWW Version.
0606
BibRef
Earlier:
Three-View Dense Disparity Estimation with Occlusion Detection,
ICIP05(III: 393-396).
WWW Version.
0512
BibRef
Stewénius, H.[Henrik],
Schaffalitzky, F.[Frederik],
Nistér, D.[David],
How Hard is 3-View Triangulation Really?,
ICCV05(I: 686-693).
WWW Version.
0510
See also Four Points in Two or Three Calibrated Views: Theory and Practice.
BibRef
An, L.P.[Lu-Ping],
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,
ICPR04(IV: 56-59).
WWW Version.
0409
BibRef
Zhang, H.,
Cech, J.,
Sara, R.,
Wu, F.,
Hu, Z.,
A Linear Trinocular Rectification Method for Accurate Stereoscopic
Matching,
BMVC03(xx-yy).
HTML Version.
0409
BibRef
Amtoun, M.,
Boufama, B.S.[Boubakeur S.],
Multi-baseline stereo using a single-lens camera,
ICIP03(I: 401-404).
IEEE Abstract. IEEE Top Reference.
0312
BibRef
Boufama, B.S.[Boubakeur S.],
Habed, A.[Adlane],
Three-dimensional reconstruction using the perpendicularity constraint,
3DIM07(241-248).
WWW Version.
07082 images and perpendicular features.
BibRef
Habed, A.[Adlane],
Boufama, B.S.[Boubakeur S.],
Three-dimensional Projective Reconstruction from Three Views,
ICPR00(Vol I: 415-418).
WWW Version.
HTML Version.
0009
BibRef
Nister, D.,
Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal
Tensors,
ECCV00(I: 649-663).
WWW Version.
0003
BibRef
Canterakis, N.,
A Minimal Set of Constraints for the Trifocal Tensor,
ECCV00(I: 84-99).
WWW Version.
0003
BibRef
Huynh, D.[Du],
Euclidean Reconstruction from an Image Triplet: A Sensitivity Analysis,
ICPR98(Vol I: 835-837).
WWW Version.
9808
BibRef
Williamson, T.[Todd],
Thorpe, C.E.[Charles E.],
A Specialized Multibaseline Stereo Technique for Obstacle Detection,
CVPR98(238-244).
IEEE Abstract. IEEE Top Reference.
Obstacle Dtection. Detects small obstacles on the road.
BibRef
9800
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.
BibRef
9800
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
of Three Views,
ICCV98(477-484).
WWW Version.
BibRef
9800
Gaussman-Caylay Algebra for Modeling Systems of Cameras and the
Algebraic Equations of the Manifold of Trifocal Tensors,
INRIA3225, 1997.
BibRef
Hemayed, E.E.,
Farag, A.A.,
A geometrical-based trinocular vision system for edges reconstruction,
ICIP98(II: 162-166).
WWW Version.
9810
BibRef
Gemmerle, D.,
Filbois, A.,
Chabbi, H.,
Construction of 3D Views from Stereoscopic Triplets of Images,
ICIP94(II: 715-719).
WWW Version.
9411
BibRef
Ma, S.D.,
Li, L.,
Ellipsoid Reconstruction from Three Perspective Views,
ICPR96(I: 344-348).
WWW Version.
9608(Chinese Academy of Sciences, PRC)
BibRef
Rieder, A.,
Trinocular Divergent Stereo Vision,
ICPR96(I: 859-863).
WWW Version.
9608(Univ. der Bundeswehr, D)
BibRef
Yang, D.,
Illingworth, J.,
Line Based Trinocular Stereo,
BMVC92(327-336).
BibRef
9200
Yang, D.,
Illingworth, J.,
Estimating Rigid 3D Motion by Stereo Fixation of Vertices,
BMVC93(xx-yy).
Univ of Surrey.
BibRef
9300
Sugimoto, K.,
Takahashi, H., and
Tomita, F.,
Integration and Interpretation of Incomplete Stereo Scene Data,
CVPR91(683-685).
IEEE Abstract. IEEE Top Reference. Three different views.
BibRef
9100
Sugimoto, K.,
Takahashi, M.,
Tomita, F.,
Scene Interpretation Based on Boundary Representations
of Stereo Images,
ICPR88(I: 155-159).
WWW Version.
IEEE Top Reference.
BibRef
8800
Pietikainen, M., and
Harwood, D.A.,
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).
WWW Version.
BibRef
9400
Shawky, M.,
Hou, K.M.,
Tu, X.W.,
A Trinocular Vision System For A Mobile Robot,
ICPR92(IV:66-69).
WWW Version.
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
Ohta, Y.,
Yamamoto, T., and
Ikeda, K.,
Collinear Trinocular Stereo Using Two-Level Dynamic Programming,
ICPR88(II: 658-662).
WWW Version.
IEEE Top Reference. See also Stereo by Intra- and Inter-scanline Search Using Dynamic Programming.
BibRef
8800
Ohta, Y.,
Watanabe, M., and
Ikeda, K.,
Improving Depth Map by Right-Angled Trinocular Stereo,
ICPR86(519-521).
BibRef
8600
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 .