X vision: Combining image warping and geometric constraints for fast visual tracking

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

Volumn 1065, Issue , 1996, Pages 507-517

  Hager, Gregory D ^a   Toyama, Kentaro ^a  

^a Yale University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0004829349     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61123-1_165     Document Type: Conference Paper

References (10)

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3. G. D. Hager. A modular system for robust hand-eye coordination. DCS RR-1074, Yale University, New Haven, CT, June 1995.
4. G. D. Hager. The “X-vision” system: A general purpose substrate for realtime vision applications. DCS RR-1078, Yale University, New Haven, CT, December 1995. Submitted to Image Understanding.
5. G. D. Hager, W-C. Chang, and A. S. Morse. Robot hand-eye coordination based on stereo vision. IEEE Control Systems Magazine, 15(1): 30–39, February 1995.
6. C.-P. Lu. Online Pose Estimation and Model Matching. PhD thesis, Yale University, 1995.
7. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proc. Int. Joint Conf. Artificial Intelligence, pages 674-679, 1981.
8. J. Shi and C. Tomasi. Good features to track. In Computer Vision and Patt. Recog., pages 593-600. IEEE Computer Society Press, 1994.
9. C. Tomasi and T. Kanade. Shape and motion from image streams: a factorization method, full report on the orthographic case. CMU-CS 92-104, CMU, 1992.
10. K. Toyama and G. D. Hager. Distraction-proof tracking: Keeping one’s eye on the ball. In IEEE Int. Workshop on Intelligent Robots and Systems, volume I, pages 354-359. IEEE Computer Society Press, 1995. Also Available as Yale CS-RR-1059.