Structure from planar motions with small baselines

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

Volumn 2351, Issue , 2002, Pages 383-398

  Vidal, René ^a   Oliensis, John ^b  

^a Department of EECS ^*  (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; ROBOTS;

ARBITRARY ROTATION; CONVERGENCE PROPERTIES; ESTIMATION MATRIX; FACTORIZATION METHODS; GUARANTEED CONVERGENCE; OPTIMAL ALGORITHM; REAL IMAGE SEQUENCES; STRUCTURE AND MOTIONS;

COMPUTER VISION;

EID: 84948968532     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47967-8_26     Document Type: Conference Paper

References (14)

1. CMU CIL-0001 castle image sequence. http://www.cs.cmu.edu/˜cil/cil-ster.html.
2. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge, 2000.
3. D. Heeger and A. Jepson. Subspace methods for recovering rigid motion I: Algorithm and implementation. International Journal of Computer Vision, 7(2):95–117, 1992.
4. R. Kumar and A. Hanson. Sensitivity of the pose refinement problem to accurate estimation of camera parameters. In IEEE International Conference on Computer Vision, pages 365–369, 1990.
5. P. McLauchlan and D. Murray. A unifying framework for structure and motion recovery from image sequences. In International Conference on Computer Vision and Pattern Recognition, pages 314–20, 1995.
6. J. Oliensis. Rigorous bounds for two–frame structure from motion. In European Conference on Computer Vision, pages 184–195, 1996.
7. J. Oliensis. Structure from linear or planar motions. In International Conference on Computer Vision and Pattern Recognition, pages 335–42, 1996.
8. J. Oliensis. A multi-frame structure-from-motion algorithm under perspective projection. International Journal of Computer Vision, 34(2-3):163–192, 1999.
9. J. Oliensis and Y. Genc. Fast and accurate algorithms for projective multi–image structure from motion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):546–559, 2001.
10. S. Soatto, R. Frezza, and P. Perona. Motion estimation via dynamic vision. IEEE Transactions on Automatic Control, 41(3):393–413, March 1996.
11. P. Sturm and B. Triggs. A factorization based algorithm for multi–image projective structure and motion. In European Conference on Computer Vision, pages 709–720, 1996.
12. R. Szeliski and S. B. Kang. Recovering 3D shape and motion from image streams using non-linear least squares. Journal of Visual Communication and Image Representation, 5(1):10–28, 1994.
13. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography. International Journal of Computer Vision, 9(2):137–154, 1992.
14. B. Triggs. Factorization methods for projective structure and motion. In International Conference on Computer Vision and Pattern Recognition, pages 845–51, 1996.