Object class recognition using images of abstract regions

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2004, Pages 40-43

  Li, Yi ^a   Bilmes, Jeff A ^a   Shapiro, Linda G ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EM ALGORITHMS; ENTROPY-BASED FEATURE DETECTORS; ERROR ESTIMATION; OBJECT CLASS RECOGNITION;

ABSTRACTING; ALGORITHMS; COMPUTER SCIENCE; DATABASE SYSTEMS; DETECTORS; IMAGE ANALYSIS; IMAGE RETRIEVAL; IMAGE SEGMENTATION; PERSONNEL TRAINING; RELIABILITY;

OBJECT RECOGNITION;

EID: 10044296996     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334000     Document Type: Conference Paper

References (11)

1. C. Carson, S. Belongie, H. Greenspan, and J. Malik. Region-based image querying. Proceedings of the 1997 IEEE Workshop on Content-Based Accesss of Image and Video Libraryies, pages 42-49, June 1997.
2. R. Fergus, P. Perona, and A. Zisserman. Object-class recognition by unsupervised scale-invariant learning. CVPR, 2:264-271, 2003.
3. D. Forsyth and M. Fleck. Body plans. CVPR, pages 678-683, 1997.
4. D. P. Huttenlocher and S. Ullman. Recognizing solid objects by alignment with an image. IJCV, 5(2): 195-212, 1990.
5. Y. Li and L. G. Shapiro. Consistent line clusters for building recognition in cbir. ICPR, pages 952-6, 2002.
6. W. Y. Ma and B. S. Manjunath. Netra: A toolbox for navigating large image databases. ICIP, 1997.
7. H. Murase and S. K. Nayar. Visual learning of object models from appearance. IJCV, 1992.
8. J. Shi and J. Malik. Normalized cuts and image segmentation. CVPR, pages 731-737, 1997.
9. J. R. Smith and C. S. Li. Image classification and querying using composite region templates. CVIU: Special Issue on Content-Based Access of Image and Video Libraries, 75(1-2):165-174, 1999.
10. M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 1991.
11. M. Weber, M. Welling, and P. Perona. Unsupervised learning of models for recognition. ECCV, pages 18-32, 2000.