Object recognition using subspace methods

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

Volumn 1064, Issue , 1996, Pages 536-545

  Huttenlocher, Daniel P ^a   Lilien, Ryan H ^a   Olson, Clark F ^a  

^a Department of Computer Science and School of Operations Research and Information Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY IMAGES; COMPUTER VISION; OBJECT RECOGNITION;

CLUTTERED BACKGROUNDS; EIGEN SPACE METHOD; IMAGE DATABASE; IMAGE LOCATIONS; IMAGE SEARCH ENGINE; RECOGNITION METHODS; SUB-SPACE METHODS; SUBSPACE REPRESENTATION;

SEARCH ENGINES;

EID: 84957535016     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0015564     Document Type: Conference Paper

References (6)

1. D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge. Comparing images using the Hausdorff distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(9):850-863, September 1993.
2. M. Kirby and L. Sirovich. Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(1):103-108, January 1990.
3. H. Murase and S. K. Nayar. Visual learning and recognition of 3-d objects from appearance. International Journal of Computer Vision, 14:5-24, 1995.
4. A. Pentland, B. Moghaddam, and T. Starner. View-based and modular eigenspaces for face recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 84-91, 1994.
5. W. J. Rucklidge. Locating objects using the Hausdorff distance. In Proceedings of the International Conference on Computer Vision, pages 457-464, 1995.
6. M. A. Turk and A P Pentland. Face recognition using eigenfaces. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 586-591, 1991.