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