Feature correspondence: A Markov chain Monte Carlo approach

Advances in Neural Information Processing Systems

Volumn , Issue , 2001, Pages

  Dellaert, Frank ^a   Seitz, Steven M ^a   Thrun, Sebastian ^a   Thorpe, Charles ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FRACTURE MECHANICS; MONTE CARLO METHODS;

BAYESIAN APPROACHES; CAMERA MOTIONS; FEATURE CORRESPONDENCE; FULLY BAYESIAN APPROACHES; MARKOV CHAIN MONTE CARLO METHOD; MARKOV CHAIN MONTE-CARLO; POSTERIOR DISTRIBUTIONS; RIGIDITY CONSTRAINT;

BAYESIAN NETWORKS;

EID: 84898973843     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: a factorization method. Int. J. of Computer Vision, 9(2):137-154, Nov. 1992.
2. R.I. Hartley. Euclidean reconstruction from uncalibrated views. In Application of Invariance in Computer Vision, pages 237-256, 1994.
3. P.A. Beardsley, P.H.S. Torr, and A. Zisserman. 3D model acquisition from extended image sequences. In Eur. Conf. on Computer Vision (ECCV), pages 11:683-695, 1996.
4. P. Torr, A. Fitzgibbon, and A. Zisserman. Maintaining multiple motion model hypotheses over many views to recover matching and structure. In Int. Conf. on Computer Vision (ICCV), pages 485-491, 1998.
5. G.L. Scott and H.C. Longuet-Higgins. An algorithm for associating the features of two images. Proceedings of Royal Society of London, B-244:21-26, 1991.
6. L.S. Shapiro and J.M. Brady. Feature-based correspondence: An eigenvector approach. Image and Vision Computing, 10(5):283-288, June 1992.
7. S. Gold, A. Rangarajan, C. Lu, S. Pappu, and E. Mjolsness. New algorithms for 2D and 3D point matching. Pattern Recognition, 31(8):1019-1031, 1998.
8. H. Pasula, S. Russell, M. Ostland, and Y. Ritov. Tracking many objects with many sensors. In Int. Joint Conf. on Artificial Intelligence (IJCAI), Stockholm, 1999.
9. F. Dellaert, S.M. Seitz, C.E. Thorpe, and S. Thrun. Structure from motion without correspondence. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2000.
10. W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors. Markov chain Monte Carlo in practice. Chapman and Hall, 1996.
11. M.A. Tanner. Tools for Statistical Inference. Springer, 1996.
12. J.J. Leonard and H.J.S. Feder. A computationally efficient method for large-scale concurrent mapping and localization. In Proceedings of the Ninth International Symposium on Robotics Research, Salt Lake City, Utah, 1999.
13. J.A. Castellanos and J.D. Tardés. Mobile Robot Localization and Map Building: A Multisensor Fusion Approach. Kluwer Academic Publishers, Boston, MA, 2000.