10 Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular

This chapter includes papers on stereo and other shape and depth computation techniques from multiple images. Three-dimensional descriptions, processing, etc. are in the chapter on Descriptions.

10.1 Stereo Analysis, Two Views

Chapter Contents (Back)
Stereo, Two views. See also Motion Estimates Using 2 Frames. There is considerable overlap in technique for the motion papers, but they are usually more concerned with what to do with a fixed number of matching features. The stereo papers are more usually more global or more dense and stereo usually means motion perpendicular to the line of sight. At times, the division is arbitrary. See also Shape and Stereo from Panoramic Views, Stereo from Omnidirectional Images.

CVOnline: Multi-Sensor, Multi-View Geometries,
CV-Online2006.
WWW Link. Survey, Stereo. BibRef 0600

Koenderink, J.J., van Doorn, A.J.,
Local Structure of Movement Parallax of the Plane,
JOSA(66), No. 7, July 1976, pp. 717-723. See also Exterospecific Component of the Motion Parallax Field. See also Affine Structure from Motion. See also Structure of Locally Orderless Images, The. BibRef 7607

Koenderink, J.J., van Doorn, A.J.,
Geometry of Binocular Vision and a Model for Stereopsis,
BioCyber(21), 1976, pp. 29-35. BibRef 7600

Mayhew, J.E.W., Longuet-Higgins, H.C.,
A Computational Model of Binocular Depth Derception,
Nature(297), 1982, pp. 376-378. BibRef 8200

Barnard, S.T.[Stephen T.], and Fischler, M.A.[Martin A.],
Computational Stereo,
Surveys(14), No. 4, December 1982, pp. 553-572. Survey, Stereo. BibRef 8212
Earlier:
Computational Stereo from an IU Perspective,
DARPA81(157-167). BibRef
And: an update:
Computational and Biological Models of Stereo Vision,
DARPA90(439-448). Stereo. The paper is a survey of many stereo systems from the Image Understanding community: CMU, CDC, Lockheed, MIT, SRI, UMinn, Stanford. There is also a brief review of the stereo problem. BibRef

Ayache, N.J.,
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception,
Cambridge: MIT Press1991. Autonomous Vehicle. Application, Navigation. Stereo, Trinocular. Range Data, Registration. BibRef 9100 Book His thesis translated to English. Covers many different topics such as stereo, trinocular, local 3D into global, navigation, etc. See also Medical Computer Vision, Virtual-Reality and Robotics. BibRef

Faugeras, O.D.,
A Few Steps Toward Artificial 3-D Vision,
RobSci(39-137), 1989. BibRef 8900
Earlier:
New Steps Toward a Flexible 3-D Vision System for Robotics,
ICPR84(796-805). Stereo discussion. See also Stratification of 3-Dimensional Vision: Projective, Affine, and Metric Representations. BibRef

Dhond, U.R., and Aggarwal, J.K.,
Structure from Stereo: A Review,
SMC(19), No. 6, November/December 1989, pp. 1489-1510. Stereo. BibRef 8911

Yeshurun, Y., and Schwartz, E.L.,
Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation,
PAMI(11), No. 7, July 1989, pp. 759-767.
IEEE DOI BibRef 8907

Geiger, D., Ladendorf, B., Yuille, A.L.,
Occlusions and Binocular Stereo,
IJCV(14), No. 3, April 1995, pp. 211-226.
Springer DOI BibRef 9504
Earlier: ECCV92(425-433).
Springer DOI BibRef

Yakimovsky, Y., and Cunningham, R.,
A System for Extracting 3-D Measurements from a Stereo Pair of TV Camera,
CGIP(7), No. 2, April 1978, pp. 195-210.
WWW Link. JPL System. Real world has all kinds of equations, which may be useful; use known camera models. BibRef 7804

Gĺrding, J., Porrill, J., Mayhew, J.E.W., and Frisby, J.P.,
Stereopsis, Vertical Disparity and Relief Transformations,
Vision Research(35), No. 5, 1995, pp. 703-722.
HTML Version. Longer Postscript:
PS File. BibRef 9500
And: A1, A2, A4, A3:
Uncalibrated Relief Reconstruction and Model Alignment from Binocular Disparities,
ECCV96(I:425-438).
Springer DOI BibRef

Fermüller, C.[Cornelia], Aloimonos, Y.[Yiannis],
On the Geometry of Visual Correspondence,
IJCV(21), No. 3, February 1997, pp. 223-247.
DOI Link 9704
See also Statistics of Optical Flow, The. BibRef

Onda, K.[Katsumasa],
Stereo matching method and disparity measuring method,
US_Patent5,719,954, Feb 17, 1998
WWW Link. BibRef 9802
And:
Method of matching stereo images and method of measuring disparity between these image,
US_Patent5,867,591, Feb 2, 1999
WWW Link. BibRef

Brown, M.Z.[Myron Z.], Burschka, D.[Darius], Hager, G.D.[Gregory D.],
Advances in Computational Stereo,
PAMI(25), No. 8, August 2003, pp. 993-1008.
IEEE Abstract. 0308
Survey, Stereo. Survey of the advances in Correspondence, Occlusion, Real Time. BibRef

Gaschler, A.[Andre], Burschka, D.[Darius], Hager, G.D.[Gregory D.],
Epipolar-Based Stereo Tracking Without Explicit 3D Reconstruction,
ICPR10(1755-1758).
IEEE DOI 1008
BibRef

Bennett, R.A.[Russell A.],
High aspect stereoscopic mode camera and method,
US_Patent6,747,686, Jun 8, 2004
WWW Link. BibRef 0406

Mansouri, B.[Behzad], Hess, R.F.[Robert F.], Allen, H.A.[Harriet A.], Dakin, S.C.[Steven C.],
Integration, segregation, and binocular combination,
JOSA-A(22), No. 1, January 2005, pp. 38-48.
WWW Link. 0501
BibRef

Deng, Y.[Yi], Yang, Q.[Qiong], Lin, X.Y.[Xue-Yin], Tang, X.[Xiaoou],
Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model,
PAMI(29), No. 6, June 2007, pp. 1068-1079.
IEEE DOI 0704
BibRef
Earlier:
A Symmetric Patch-Based Correspondence Model for Occlusion Handling,
ICCV05(II: 1316-1322).
IEEE DOI 0510
Occlusions in stereo matching -- patch based match. BibRef

Bartoli, A.E.[Adrien E.], Lapresté, J.T.[Jean-Thierry],
Triangulation for Points on Lines,
IVC(26), No. 2, 1 February 2008, pp. 315-324.
WWW Link. 0711
BibRef
Earlier: ECCV06(III: 189-200).
Springer DOI 0608
Triangulation; Structure-From-Motion; Point; Lin BibRef

de la Fraga, L.G.[Luis Gerardo], Schütze, O.[Oliver],
Direct Calibration by Fitting of Cuboids to a Single Image Using Differential Evolution,
IJCV(81), No. 2, February 2009, pp. xx-yy.
Springer DOI 0901
BibRef

de la Fraga, L.G.[Luis G.], Vite-Silva, I.[Israel],
Direct 3D Metric Reconstruction from Multiple Views Using Differential Evolution,
EvoIASP08(xx-yy).
Springer DOI 0804
BibRef

de la Fraga, L.G.[Luis Gerardo],
Self-calibration from Planes Using Differential Evolution,
CIARP09(724-731).
Springer DOI 0911
See also Triangulation Using Differential Evolution. BibRef

Son, J.Y., Gruts, Y., Chun, J.H., Choi, Y.J., Bahn, J.E., Bobrinev, V.I.,
Distortion analysis in stereoscopic images,
OptEng(41), No. 3, 2002, pp. 680-685.
DOI Link BibRef 0200

Son, J.Y.[Jung-Young], and Lee, K.H.[Kwang-Hoon],
A diverging radial-type stereoscopic camera for small mobile devices,
SPIE(Newsroom), February 22, 2010
DOI Link 1004
A new way of configuring cameras provides better stereo images with greater depth of field than is possible with conventional approaches BibRef

Son, J.Y., Cha, K.H., Kim, S.K., Park, M.C., Jang, S.H.,
Stereo-photography with hand phone,
SPIE(6392), pp. 639205, 2006.
DOI Link 1004
BibRef

Son, J.Y., Guschin, V.P., Yeom, S.W., Kim, S.H., Lee, H.,
Stereo images in millimeter-wave regime,
SPIE(7329), pp. 73290L, 2009.
DOI Link 1004
BibRef

Papadakis, N.[Nicolas], Caselles, V.[Vicent],
Multi-label Depth Estimation for Graph Cuts Stereo Problems,
JMIV(38), No. 1, September 2010, pp. 70-82.
WWW Link. 1011
BibRef

Zhao, Y., Chen, Z., Zhu, C., Tan, Y.P., Yu, L.,
Binocular Just-Noticeable-Difference Model for Stereoscopic Images,
SPLetters(18), No. 1, January 2011, pp. 19-22.
IEEE DOI 1011
BibRef

Hartley, R.I.[Richard I.], Kahl, F.[Fredrik], Olsson, C.[Carl], Seo, Y.D.[Yong-Duek],
Verifying Global Minima for L_2 Minimization Problems in Multiple View Geometry,
IJCV(101), No. 2, January 2013, pp. 288-304.
WWW Link. 1302
BibRef

Hartley, R.I.[Richard I.], Seo, Y.D.[Yong-Duek],
Verifying global minima for L2 minimization problems,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And: A2, A1:
Sequential L-inf Norm Minimization for Triangulation,
ACCV07(II: 322-331).
Springer DOI 0711
BibRef
And: A2, A1:
A Fast Method to Minimize L-inf Error Norm for Geometric Vision Problems,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Lu, F.F.[Fang-Fang], Hartley, R.I.[Richard I.],
A Fast Optimal Algorithm for L-2 Triangulation,
ACCV07(II: 279-288).
Springer DOI 0711
Least squares BibRef

Kim, H.S.[Han-Sung], Hilton, A.[Adrian],
3D Scene Reconstruction from Multiple Spherical Stereo Pairs,
IJCV(104), No. 1, August 2013, pp. 94-116.
WWW Link. 1307
BibRef
Earlier:
PDE-based disparity estimation with occlusion and texture handling for accurate depth recovery from a stereo image pair,
ICIP10(4061-4064).
IEEE DOI 1009
BibRef

Kim, H.S.[Han-Sung], Hilton, A.[Adrian],
Block world reconstruction from spherical stereo image pairs,
CVIU(139), No. 1, 2015, pp. 104-121.
Elsevier DOI 1509
3D reconstruction BibRef

Zhang, Q.A.[Qi-Ang], Wu, Y.[Yan], Wang, F.[Fan], Dong, Q.[Qiulei], Jiao, L.C.[Li-Cheng],
Suboptimal Solutions to the Algebraic-Error Line Triangulation,
JMIV(49), No. 3, July 2014, pp. 611-632.
Springer DOI 1407
BibRef

Wu, F.C.[Fu-Chao], Zhang, M.[Ming], Wang, G.H.[Guang-Hui], Hu, Z.Y.[Zhan-Yi],
Triangulation and metric of lines based on geometric error,
CVIU(145), No. 1, 2016, pp. 111-127.
Elsevier DOI 1604
Line triangulation BibRef


Alsadik, B.[Bashar],
A Modified Method For Image Triangulation Using Inclined Angles,
ISPRS16(B3: 453-458).
DOI Link 1610
BibRef

Lundquist, S.Y., Paiton, D.M., Schultz, P.F., Kenyon, G.T.,
Sparse encoding of binocular images for depth inference,
Southwest16(121-124)
IEEE DOI 1605
Benchmark testing BibRef

Aholt, C.[Chris], Agarwal, S.[Sameer], Thomas, R.[Rekha],
A QCQP Approach to Triangulation,
ECCV12(I: 654-667).
Springer DOI 1210
Quadratically constrained quadratic program. BibRef

Tossavainen, T.[Timo],
Approximate and SQP Two View Triangulation,
ACCV10(III: 1-14).
Springer DOI 1011
BibRef

Fouhey, D.F.[David F.], Scharstein, D.[Daniel], Briggs, A.J.[Amy J.],
Multiple Plane Detection in Image Pairs Using J-Linkage,
ICPR10(336-339).
IEEE DOI 1008
BibRef

Lindstrom, P.[Peter],
Triangulation made easy,
CVPR10(1554-1561).
IEEE DOI 1006
Iterative solution of triangulation from approximate matches. BibRef

Cheng, X.[Xu], Hao, Q.[Qun], Song, Y.[Yong], Hu, Y.[Yao],
A Vision Navigation Algorithm for MAVs Attitude Estimation Based on Radon Transformation,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhang, C.S.[Chun-Sen], Yao, W.Q.A.[Wan-Qi-Ang],
The Comparisons of 3D Analysis Between Photogrammetry and Computer Vision,
ISPRS08(B3b: 33 ff).
PDF File. 0807
BibRef

Jeong, I.S.[In-Seong], Bethel, J.S.[James S.],
Trajectory Modeling for Satellite Image Triangulation,
ISPRS08(B1: 901 ff).
PDF File. 0807
BibRef

Ziobro, J.,
Precision and Reliability of GPS-Coordinates of Projection Centers in Real Aerial Triangulations,
ISPRS08(B3b: 21 ff).
PDF File. 0807
BibRef

Yu, J., Ding, Y.,
Epsilon Stereo Pairs,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Vite-Silva, I.[Israel], Cruz-Cortés, N.[Nareli], Toscano-Pulido, G.[Gregorio], de la Fraga, L.G.[Luis Gerardo],
Optimal Triangulation in 3D Computer Vision Using a Multi-objective Evolutionary Algorithm,
EvoIASP07(330-339).
Springer DOI 0704
BibRef

Moreno, F.A.[Francisco Angel], Blanco, J.L.[Jose Luis], Gonzalez, J.[Javier],
A Probabilistic Observation Model for Stereo Vision Systems: Application to Particle Filter-Based Mapping and Localization,
IbPRIA07(I: 346-353).
Springer DOI 0706
BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
General Stereo Discussion: Human and Computer .


Last update:Mar 13, 2017 at 16:25:24