Composite models of objects and scenes for category recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Crandall, David J ^a   Huttenlocher, Daniel P ^a  

^a Cornell University ^*

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER GRAPHICS; LEARNING SYSTEMS; TOPOLOGY;

CATEGORY RECOGNITION; DETECTION EVALUATION; OBJECT CATEGORIES; SPATIAL MODELS; SPATIAL RELATIONSHIPS;

OBJECT RECOGNITION;

EID: 34948861136     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383155     Document Type: Conference Paper

References (17)

1. Y. Amit and A. Trouve. POP: Patchwork of parts models for object recognition. Technical report, The University of Chicago, April 2005.
2. M. Burl, M. Weber, and P. Perona. A probabilistic approach to object recognition using local photometry and global geometry. In ECCV, 1998.
3. D. Crandall, P. Felzenszwalb, and D. Huttenlocher. Spatial priors for part-based recognition using statistical models. In CVPR, pages 10-17, 2005.
4. D. Crandall and D. Huttenlocher. Weakly supervised learning of part-based spatial models for visual object recognition. In ECCV, 2006.
5. C. Dance, J. Willamowski, L. Fan, C. Bray, and G. Csurka. Visual categorization with bags of keypoints. In ECCV, 2004.
6. E. DeLong, D. DeLong, and D. Clarke-Pearson. Comparing the areas under two or more correlated ROC curves: a non-parametric approach. Biometrics, 44(3), 1998.
7. M. Everingham, A. Zisserman, C. Williams, and L. V. Gool. The PASCAL Visual Object Classes challenge 2006 results. Technical report, September 2006.
8. P. Felzenszwalb and D. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1), 2005.
9. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
10. R. Fergus, P. Perona, and A. Zisserman. A sparse object category model for efficient learning and exhaustive recognition. In CVPR, pages 380-387, 2005.
11. M. Fischler and R. Elschlager. The representation and matching of pictorial structures. IEEE Transactions on Computers, 22(1), 1973.
12. D. Hoiem, A. Efros, and M. Hebert. Putting objects in perspective. In CVPR, pages 2137-2144, 2006.
13. D. Hoiem, A. A. Efros, and M. Hebert. Geometric context from a single image. In ICCV, pages 654-661, 2005.
14. J. Luo and D. Crandall. Robust color object detection using spatial-color joint probability functions. IEEE Transactions on Image Processing, 15(6): 1443-1453, 2006.
15. K. Murphy, A. Torralba, and W. Freeman. Graphical model for recognizing scenes and objects. In Proceedings of NIPS, 2003.
16. J. Shotton, J. M. Winn, C. Rother, and A. Criminisi. extonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In ECCV (1), pages 1-15, 2006.
17. A. B. Torralba, K. P. Murphy, W. T. Freeman, and M. A. Rubin. Context-based vision system for place and object recognition. In ICCV, pages 273-280, 2003.