10.5 Stereo Using Three Views, Trinocular Stereo

Chapter Contents (Back)
Three Views, Stereo. Stereo, Trinocular. Trinocular.

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

Yamanaka, K.[Kazuyuki],
Method of measuring three dimensional shape,
US_Patent5,249,035, Sep 28, 1993
WWW Link. BibRef 9309

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.[King-Chü], Chiou, R.N.[Rong-Nan], Shyi, C.N.[Chia-Nian], Lee, J.Y.[Jau-Yien], Chen, C.H.[Chin-Hsing],
Polyhedron Reconstruction Using Three-View Analysis,
PR(22), No. 3, 1989, pp. 231-246.
Elsevier DOI Matching driven by corners and edge lines. 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.[Rong-Nan], Hung, K.C.[King-Chü], Guo, J.K., Chen, C.H.[Chin-Hsing], Fan, T.I., Lee, J.Y.[Jau-Yien],
Polyhedron Recognition Using Three-View Analysis,
PR(25), No. 1, January 1992, pp. 1-16.
Elsevier DOI Recognition. 3D surface data and 2D image projection. 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.
Springer DOI 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 DOI 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 DOI 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

Randall, G.[Gregory], Foret, S.[Serge], Ayache, N.J.[Nicholas J.],
Final steps towards real time trinocular stereovision,
ECCV90(601-603).
Springer DOI 9004
BibRef

Hansen, C., Ayache, N.J., and Lustman, F.,
Towards Real-Time Trinocular Stereo,
ICCV88(129-133).
IEEE DOI BibRef 8800
Earlier: A2, A3 Only:
Fast and Reliable Passive Trinocular Stereovision,
ICCV87(422-427). BibRef
And: A2, A3 Only:
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.[Olivier D.], Robert, L.,
What Can Two Images Tell Us about a Third One?,
IJCV(18), No. 1, April 1996, pp. 5-19.
Springer DOI BibRef 9604
Earlier: ECCV94(A:485-492).
Springer DOI 9605
BibRef

Robert, L., Faugeras, O.D.[Olivier D.],
Curve-Based Stereo: Figural Continuity and Curvature,
CVPR91(57-62).
IEEE DOI 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.[Jun], Paillou, P.[Philippe],
Trinocular Stereovision by Generalized Hough Transform,
PR(29), No. 10, October 1996, pp. 1661-1672.
Elsevier DOI 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 DOI BibRef 9903
Earlier: ECCV98(II: 862).
Springer DOI Trilinear Tensor. BibRef
Earlier:
Direct Methods for Estimation of Structure and Motion from Three Views,
CVPR97(400-406).
IEEE Abstract.
IEEE DOI 9704
BibRef
And: DARPA97(889-892). BibRef
And: MIT AI Memo-1594, 1995.
WWW Link. 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

Shashua, A.[Amnon],
System and method for reconstructing surface elements of solid objects in a three-dimensional scene from a plurality of two dimensional images of the scene,
US_Patent6,094,198, Jul 25, 2000
WWW Link. BibRef 0007

Pedersini, F., Sarti, A., Tubaro, S.,
Accurate and simple geometric calibration of multi-camera systems,
SP(77), No. 3, September 1999, pp. 309-334. BibRef 9909
Earlier:
Accurate feature detection and matching for the tracking of calibration parameters in multi-camera acquisition systems,
ICIP98(II: 598-602).
IEEE DOI 9810
BibRef

Pedersini, F., Sarti, A., Tubaro, S.,
Multi-camera systems,
SPMag(16), No. 3, May 1999, pp. 55-65. 0201
BibRef

Pedersini, F., Pigazzini, P., Sarti, A., Tubaro, S.,
Multicamera motion estimation for high-accuracy 3D reconstruction,
SP(80), No. 1, January 2000, pp. 1-21. 0005

See also Accurate and simple geometric calibration of multi-camera systems. BibRef

Pedersini, F.[Federico], Sarti, A.[Augusto], Tubaro, S.[Stefano],
Multi-camera parameter tracking,
VISP(148), No. 1, February 2001, pp. 70-77. 0105
BibRef
Earlier:
Multi-Camera Acquisitions for High-Accuracy 3D Reconstruction,
SMILE98(xx-yy). BibRef
Earlier:
Egomotion Estimation of a Multicamera System Through Line Correspondences,
ICIP97(II: 175-178).
IEEE DOI 9710
BibRef
Earlier:
3D Motion Estimation of a Trinocular System for a Full-3D Object Reconstruction,
ICIP96(II: 867-870).
IEEE DOI BibRef

Faugeras, O.D.[Olivier 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.
DOI Link BibRef 0105
Earlier:
Geometric-Imprints: A Significant Points Extraction Method for the Scan&Track Virtual Environment,
AFGR98(480-485).
IEEE DOI 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

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.
DOI Link 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 Link. 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. BibRef

Zhao, M.[Ming], Chung, R.[Ronald],
Critical line-set configurations to epipolar geometry determination and application to image line transfer,
PRL(31), No. 8, 1 June 2010, pp. 686-695.
Elsevier DOI 1004
BibRef
Earlier:
Critical configurations of lines to geometry determination of three cameras,
ICPR08(1-5).
IEEE DOI 0812
BibRef
And:
Rank Classification of Linear Line Structure in Determining Trifocal Tensor,
ECCV08(II: 733-744).
Springer DOI 0810
Linear line structures; Critical configurations; Image line transfer BibRef

Zhao, M.[Ming], Chung, R.[Ronald],
Rank Classification of Linear Line Structures from Images by Trifocal Tensor Determinability,
PAMI(32), No. 7, July 2010, pp. 1197-1210.
IEEE DOI 1006
BibRef

Alzati, A.[Alberto], Tortora, A.[Alfonso],
A Geometric Approach to the Trifocal Tensor,
JMIV(38), No. 3, November 2010, pp. 159-170.
WWW Link. 1011
3X3X3 tensors relating 3 cameras. Get 8 equations that for a given transformation, determine if it is trifocal. BibRef

Nordberg, K.[Klas],
The Key to Three-View Geometry,
IJCV(94), No. 3, September 2011, pp. 282-294.
WWW Link. 1101
BibRef
Earlier:
Efficient Three-view Triangulation Based on 3D Optimization,
BMVC08(xx-yy).
PDF File. 0809
BibRef
Earlier:
A Linear Mapping for Stereo Triangulation,
SCIA07(838-847).
Springer DOI 0706
BibRef

Chen, D.M.[Dong-Ming], Ardabilian, M.[Mohsen], Chen, L.M.[Li-Ming],
A Fast Trilateral Filter-Based Adaptive Support Weight Method for Stereo Matching,
CirSysVideo(25), No. 5, May 2015, pp. 730-743.
IEEE DOI 1505
BibRef
Earlier:
A Novel Trilateral Filter based Adaptive Support Weight Method for Stereo Matching,
BMVC13(xx-yy).
DOI Link 1402
Accuracy BibRef

Trager, M.[Matthew], Ponce, J.[Jean], Hebert, M.[Martial],
Trinocular Geometry Revisited,
IJCV(120), No. 2, November 2016, pp. 134-152.
Springer DOI 1609
BibRef
Earlier: A2, A3, Only:
Trinocular Geometry Revisited,
CVPR14(17-24)
IEEE DOI 1409
multiview geometry BibRef

Martyushev, E.V.,
On Some Properties of Calibrated Trifocal Tensors,
JMIV(58), No. 2, June 2017, pp. 321-332.
Springer DOI 1704
BibRef

Tong, X.H.[Xiao-Hua], Luan, K.F.[Kui-Feng], Liu, X.L.[Xiang-Lei], Liu, S.J.[Shi-Jie], Chen, P.[Peng], Jin, Y.M.[Yan-Min], Lu, W.S.[Wen-Sheng], Huang, B.F.[Bao-Feng],
Tri-Camera High-Speed Videogrammetry for Three-Dimensional Measurement of Laminated Rubber Bearings Based on the Large-Scale Shaking Table,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Wegner, K.[Krzysztof], Stankiewicz, O.[Olgierd],
Depth estimation using modified cost function for occlusion handling,
SIViP(13), No. 8, November 2019, pp. 1539-1547.
Springer DOI 1911
Occlusions in 3 views. BibRef

Ma, Y., Li, Q., Xing, J., Huo, G., Liu, Y.,
An Intelligent Object Detection and Measurement System Based on Trinocular Vision,
CirSysVideo(30), No. 3, March 2020, pp. 711-724.
IEEE DOI 2003
Object detection, Machine vision, Cameras, Visualization, Size measurement, Image edge detection, Task analysis, spatial information BibRef


Chen, L.X.[Li-Xiong], Zheng, Y.Q.[Yin-Qiang], Subpa-Asa, A.[Art], Sato, I.[Imari],
Polarimetric Three-View Geometry,
ECCV18(XVI: 21-37).
Springer DOI 1810
BibRef

Julià, L.F.[Laura F.], Monasse, P.[Pascal],
A Critical Review of the Trifocal Tensor Estimation,
PSIVT17(337-349).
Springer DOI 1802
BibRef

Horna, L.[Luis], Fisher, R.B.[Robert B.],
Plane labeling trinocular stereo matching with baseline recovery,
MVA17(17-20)
DOI Link 1708
Cameras, Estimation, Image segmentation, Inference algorithms, Labeling, Optical imaging, Three-dimensional, displays BibRef

Chen, D.M.[Dong-Ming], Ardabilian, M.[Mohsen], Chen, L.M.[Li-Ming],
Depth edge based trilateral filter method for stereo matching,
ICIP15(2280-2284)
IEEE DOI 1512
adaptive support weight BibRef

Zhou, X.W.[Xiao-Wei], Leonardos, S.[Spyridon], Hu, X.Y.[Xiao-Yan], Daniilidis, K.[Kostas],
3D shape estimation from 2D landmarks: A convex relaxation approach,
CVPR15(4447-4455)
IEEE DOI 1510
BibRef

Leonardos, S.[Spyridon], Tron, R.[Roberto], Daniilidis, K.[Kostas],
A metric parametrization for trifocal tensors with non-colinear pinholes,
CVPR15(259-267)
IEEE DOI 1510
BibRef

Tanaka, S., Nakagawa, M.,
The Triplet Measured by Aerial Camera Using Line Segments Line Matching-Based Relative Orientation Using Triplet Camera,
Seamless15(217-222).
DOI Link 1508
BibRef

Bhalerao, R.H., Gedam, S.S., Joglekar, J.,
Scan line optimization for Tri stereo planetary images,
PCV14(33-37).
DOI Link 1404
BibRef

Hedborg, J.[Johan], Robinson, A.[Andreas], Felsberg, M.[Michael],
Robust Three-View Triangulation Done Fast,
IWMV14(152-157)
IEEE DOI 1409
Nonlinear optimization;Structure from motion;Three-view Triangulation BibRef

Sun, C.M.[Chang-Ming],
Trinocular stereo image rectification in closed-form only using fundamental matrices,
ICIP13(2212-2216)
IEEE DOI 1402
Trinocular stereo images BibRef

Kukelova, Z., Pajdla, T., Bujnak, M.,
Fast and Stable Algebraic Solution to L2 Three-View Triangulation,
3DV13(326-333)
IEEE DOI 1311
computer vision BibRef

Zhang, Q.A.[Qi-Ang], Wu, Y.[Yan], Liu, M.[Ming], Jiao, L.C.[Li-Cheng],
An Efficient Normal-Error Iterative Algorithm for Line Triangulation,
ACIVS13(298-309).
Springer DOI 1311
find the position of a line in space given its three projections BibRef

Hao, K.R.[Kuang-Rong], Ding, Y.S.[Yong-Sheng],
Trinocular matching realized by a monocular stereovision sensor for parallel manipulator,
ICARCV08(1436-1441).
IEEE DOI 1109
BibRef

Mozerov, M.G.[Mikhail G.], Gonzalez, J.[Jordi], Roca, F.X.[F. Xavier], Villanueva, J.J.[Juan J.],
Trinocular stereo matching with composite disparity space image,
ICIP09(2089-2092).
IEEE DOI 0911
BibRef

Li, J.[Jing], Shao, Y.S.[Yong-She], Wang, J.R.[Jian-Rong], Yang, J.F.[Jun-Feng],
The Research and Design of the Base-height Ratio for the Three Linear Array Camera of Satellite Photogrammetry,
ISPRS08(B1: 757 ff).
PDF File. 0807
BibRef

Heinrichs, M., Rodehorst, V., Hellwich, O.,
Efficient Semi-Global Matching for Trinocular Stereo,
PIA07(185).
PDF File. 0711
BibRef

Byröd, M.[Martin], Josephson, K.[Klas], Åström, K.[Kalle],
Fast Optimal Three View Triangulation,
ACCV07(II: 549-559).
Springer DOI 0711
BibRef

Heinrichs, M.[Matthias], Rodehorst, V.[Volker],
Trinocular Rectification for Various Camera Setups,
PCV06(xx-yy).
PDF File. 0609
BibRef

Ueshiba, T.[Toshio],
An Efficient Implementation Technique of Bidirectional Matching for Real-time Trinocular Stereo Vision,
ICPR06(I: 1076-1079).
IEEE DOI 0609
BibRef

Huang, X.D.[Xiao-Dong], Dubois, E.,
3D Reconstruction Based on a Hybrid Disparity Estimation Algorithm,
ICIP06(1025-1028).
IEEE DOI 0610
BibRef
And:
Region-Based Motion Analysis and 3D Reconstruction for a Translational Video Sequence,
3DPVT06(838-845).
IEEE DOI 0606
BibRef
Earlier:
Three-View Dense Disparity Estimation with Occlusion Detection,
ICIP05(III: 393-396).
IEEE DOI 0512
BibRef

Stewénius, H.[Henrik], Schaffalitzky, F.[Frederik], Nistér, D.[David],
How Hard is 3-View Triangulation Really?,
ICCV05(I: 686-693).
IEEE DOI 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).
IEEE DOI 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 DOI 0312
BibRef

Elamsy, T.[Tarik], Boufama, B.[Boubakeur], Habed, A.[Adlane],
Parallel Planes Identification Using Uncalibrated Zooming Cameras,
CRV13(174-180)
IEEE DOI 1308
Cameras BibRef

Habed, A.[Adlane], Amintabar, A.[Amir], Boufama, B.S.[Boubakeur S.],
Reconstruction-Free Parallel Planes Identification from Uncalibrated Images,
ICPR10(1828-1831).
IEEE DOI 1008
BibRef

Boufama, B.S.[Boubakeur S.], Habed, A.[Adlane],
Three-dimensional reconstruction using the perpendicularity constraint,
3DIM07(241-248).
IEEE DOI 0708
2 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).
IEEE DOI 0009
BibRef

Nister, D.,
Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors,
ECCV00(I: 649-663).
Springer DOI 0003
BibRef

Canterakis, N.,
A Minimal Set of Constraints for the Trifocal Tensor,
ECCV00(I: 84-99).
Springer DOI 0003
Award, ECCV. BibRef

Huynh, D.[Du],
Euclidean Reconstruction from an Image Triplet: A Sensitivity Analysis,
ICPR98(Vol I: 835-837).
IEEE DOI 9808
BibRef

Faugeras, O.D., and Papadopoulo, T.,
A Nonlinear Method for Estimating the Projective Geometry of Three Views,
ICCV98(477-484).
IEEE DOI 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).
IEEE DOI 9810
BibRef

Gemmerle, D., Filbois, A., Chabbi, H.,
Construction of 3D Views from Stereoscopic Triplets of Images,
ICIP94(II: 715-719).
IEEE DOI 9411
BibRef

Ma, S.D., Li, L.,
Ellipsoid Reconstruction from Three Perspective Views,
ICPR96(I: 344-348).
IEEE DOI 9608
(Chinese Academy of Sciences, PRC) BibRef

Rieder, A.,
Trinocular Divergent Stereo Vision,
ICPR96(I: 859-863).
IEEE DOI 9608
(Univ. der Bundeswehr, D) BibRef

Yang, D., Illingworth, J.,
Line Based Trinocular Stereo,
BMVC92(327-336).
PDF File. BibRef 9200

Yang, D., Illingworth, J.,
Estimating Rigid 3D Motion by Stereo Fixation of Vertices,
BMVC93(xx-yy).
PDF File. Univ of Surrey. BibRef 9300

Sugimoto, K., Takahashi, H., and Tomita, F.,
Integration and Interpretation of Incomplete Stereo Scene Data,
CVPR91(683-685).
IEEE DOI Three different views. BibRef 9100

Sugimoto, K., Takahashi, M., Tomita, F.,
Scene Interpretation Based on Boundary Representations of Stereo Images,
ICPR88(I: 155-159).
IEEE DOI 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).
IEEE DOI BibRef 9400

Shawky, M., Hou, K.M., Tu, X.W.,
A Trinocular Vision System For A Mobile Robot,
ICPR92(IV:66-69).
IEEE DOI 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 .


Last update:Mar 16, 2024 at 20:36:19