On the reprojection of 3D and 2D scenes without explicit model selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1842, Issue , 2000, Pages 936-949

  Shashua, Amnon ^a   Avidan, Shai ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RECOVERY;

EXPLICIT MODELING; FUNDAMENTAL MATRIX; HOMOGRAPHY MATRICES; MATCHING CONSTRAINTS; MODEL SELECTION; PLANAR CONFIGURATIONS; PROJECTION MATRIX; TRIFOCAL TENSOR;

COMPUTER VISION;

EID: 84944270677     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45054-8_61     Document Type: Conference Paper

References (16)

1. S. Birchfield An Implementation of the Kanade-Lucas-Tomasi Feature Tracker. Download from: http://vision.stanford.edu/ birch/klt
2. R. Courant and D. Hilbert. Methods of mathematical physics. Interscience Publishers Inc., 1953.
3. O.D. Faugeras and B. Mourrain. On the geometry and algebra of the point and line correspondences between N images. In Proceedings of the International Conference on Computer Vision, Cambridge, MA, June 1995.
4. R. I. Hartley. Lines and points in three views and the trifocal tensor. International Journal of Computer Vision, 22(2):125-140, 1997.
5. A. Heyden. A common framework for multiple view tensors. In Proceedings of the European Conference on Computer Vision, pages 3-19, Freiburg, Germany, June 1998.
6. M. Irani, P. Anandan, and D. Weinshall. From reference frames to reference planes: Multiview parallax geometry and applications. In Proceedings of the European Conference on Computer Vision, Frieburg, Germany, 1998. Springer, LNCS 1407.
7. P. Meer, D. Mintz, D. Kim, and A. Rosenfeld. Robust regression methods for computer vision: A review. International Journal of Computer Vision, 6(1):59-70, 1991.
8. P. Pritchett and A. Zisserman. Matching and Reconstruction from Widely Separated Views. In 3D Structure from Multiple Images of Large-Scale Environments, LNCS 1506, Springer-Verlag, 1998.
9. A. Shashua. Algebraic functions for recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8):779-789, 1995.
10. A. Shashua. Trilinear tensor: The fundamental construct of multiple-view geometry and its applications. In G. Sommer and J.J. Koenderink, editors, Algebraic Frames For The Perception Action Cycle, number 1315 in Lecture Notes in Computer Science. Springer, 1997. Proceedings of the workshop held in Kiel, Germany, Sep. 1997.
11. A. Shashua and M. Werman. Trilinearity of three perspective views and its associated tensor. In Proceedings of the International Conference on Computer Vision, June 1995.
12. M. E. Spetsakis and J. Aloimonos. Structure from motion using line correspondences. International Journal of Computer Vision, 4(3):171-183, 1990.
13. G. Stein and A. Shashua. On degeneracy of linear reconstruction from three views: Linear line complex and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(3):244-251, 1999.
14. P. H. S Torr and A. Zisserman Concerning bayesian motion segmentation, model averaging, matching and the trifocal tensor. In Proceedings of the European Conference on Computer Vision, 1998.
15. P. H. S. Torr and A. Zisserman. Robust parameterization and computation of the trifocal tensor. Image and Vision Computing, 15:591-607, 1997.
16. B. Triggs. Matching constraints and the joint image. In Proceedings of the Inter- national Conference on Computer Vision, pages 338-343, Cambridge, MA, June 1995.