Pose estimation for multiple camera systems

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2004, Pages 262-265

  Chang, Wen Yan ^a   Chen, Chu Song ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

LEAST-SQUARE-ERROR (LSE); LEAST-SQUARED PROBLEM; MULTIPLE CAMERA SYSTEM (MCS); RIGID TRANSFORMATIONS;

ALGORITHMS; IMAGE ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PHOTOGRAPHIC FILMS; PROBLEM SOLVING;

CAMERAS;

EID: 10044280131     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334517     Document Type: Conference Paper

References (15)

1. K. S. Arun, T. S. Huang and S. D. Blostein, "Least-squares fitting of two 3-D point sets," IEEE Trans. Pat. Ana. & Mach. Int., Vol. 9, No. 5, 1987.
2. P. J. Besl and N. D. McKay, "A method for registration of 3D shapes," IEEE Trans. Pat. Ana. & Mach. Int., Vol. 14, No. 5, 1992.
3. C. S. Chen and W. Y. Chang, "On Pose Recovery for Generalized Visual Sensors," IEEE Trans. Pat. Ana. & Mach. Int. (pending publication).
4. D. F. Dementhon and L. S. Davis, "Model-based object pose in 25 line of code," Int. J. Computer Vision, Vol. 15, pp. 123-141, 1995.
5. O. D. Faugeras and M. Hebert, "A 3D recognition and positioning algorithm using geometrical matching between primitive surfaces," Proc. Int. Joint Conf. Artificial Intelligence, pp. 996-1002, 1983.
6. C. Fermüller, et al., "Multi-camera networks: Eyes from eyes," Proc. IEEE Workshop on Omnidirectional Vision, pp. 11-18, 2000.
7. M.Grossberg and S. Nayar, "A general imaging model and a method for finding its parameters," Proc. Int., Conf. Computer Vision, 2001.
8. T. S. Huang, S. D. Blostein, and E. A. Margerum, "Least-squares estimation of motion parameters from 3D point correspondences," Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 1986.
9. R. M. Haralick, C. N. Lee, K. Ottenberg and M. Nolle, "Analysis and solutions of the three point perspective pose estimation problem," Proc. IEEE Int. Conf. Computer Vision & Pattern Recognition, 1991.
10. B. K. P. Horn, "Closed-form solution of absolute orientation using unit quaternions," J. Opt. Soc. Am., Vol. 4, pp. 629-642, 1987.
11. T. Kanade, P. Rander, and P. Narayanan, "Virtualized reality: Constructing virtual worlds from real scenes," IEEE Multimedia, Vol. 4, No. 1, pp34-47, 1997.
12. C. P. Lu, G. D. Hager and E. Mjolsness, "Fast and globally convergent pose estimation from video images," IEEE Trans. Pal. Ana. & Mach. Int., Vol. 22, No.6, 2000.
13. M. Nicolescu and G. Medioni, "GlobeAll: Panoramic video for an intelligent room," Proc. Int. Conf. Pattern Recognition, pp. 823-826, 2000.
14. R. Pless, "Using many cameras as one," " Proc: IEEE Int. Conf. Computer Vision and Pattern Recognition, 2003.
15. J. S. C. Yuan, "A General Photogrammetric Method for Determining Object Position and Orientation," IEEE Trans. Robotics and Automation, Vol. 5, pp. 129-142, 1989.