Augmenting shape with appearance in vehicle category recognition

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

Volumn 1, Issue , 2006, Pages 935-942

  Ozcanli, Ozge C ^a   Tamrakar, Amir ^a   Kimia, Benjamin B ^a   Mundy, Joseph L ^a  

^a Brown University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RECOGNITION RATE; VEHICLE CATEGORY RECOGNITION;

ALGORITHMS; DATABASE SYSTEMS; IMAGE SEGMENTATION;

OBJECT RECOGNITION;

EID: 33845591069     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.61     Document Type: Conference Paper

References (25)

1. S. Agarwal, A. Awan, and D. Roth. Learning to detect objects in images via a sparse, part-based representation. PAMI, 26(11): 1475-1490, 2004.
2. A. C. Berg, T. L. Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. In CVPR, volume 1, pages 26-33, 2005.
3. E. Borenstein and S. Ullman. Class-specific, top-down segmentation. In ECCV(2), pages 109-124, 2002.
4. H. Chen, P. Varshney, and M. Slamani. On registration of regions of interest in video sequences. In AVSBS, 2003.
5. H. Chui and A. Rangarajan. A new point matching algorithm for non-rigid registration. In CVIU, volume 89, pages 114-141, 2003.
6. A. Collignon, F. Maes, D. Delaere, D. Vandermeulen, P. Suetens, and G. Marchai. Automated multi-modality image registration based on information theory. In Information Processing in Medical Imaging, pages 263-274, 1995.
7. N. Dowson and R. Bowden. Metric mixtures for mutual information tracking. In ICPR, August 2004.
8. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
9. P. J. Giblin and B. B. Kimia. On the intrinsic reconstruction of shape from its symmetries. PAMI, 25(7):895-91 1, 2003.
10. T. Kadir and M. Brady. Scale, saliency and image description. In IJCV, volume 45(2), page 83105, 2001.
11. P. M. Lewis. The characteristic selection problem in recognition systems. In IRE Trans. on IT, volume 8, pages 171-178, 1962.
12. T. Liu and D. Geiger. Approximate tree matching and shape similarity, pages 456-462, 1999.
13. J. Matas, J. Burianek, and J. Kittler. Object recognition using the invariant pixel-set signature. In BMVC, volume 2, pages 606-615, 2000.
14. E. Milios and E. G. M. Petrakis. Shape retrieval based on dynamic programming. TIP, 9(1): 141-146, 2000.
15. J. L. Mundy and C.-F. Chang. Fusion of intensity, texture, and color in video tracking based on mutual information. In AIPR, pages 10-15, 2004.
16. H. Murase and S. K. Nayar. Visual learning and recognition of 3D objects from appearance. IJCV, 14(1):5-24, 1995.
17. POV-team. Persistence of vision ray tracer. povray.org, 2004.
18. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. Segmenting, modeling, and matching video clips containing multiple moving objects. In CVPR, volume 2, pages 914-921, 2004.
19. T. Sebastian, P. Klein, and B. Kimia. On aligning curves. PAMI, 25(1):116-125, 2003.
20. T. Sebastian, P. Klein, and B. Kimia. Recognition of shapes by editing their shock graphs. PAMI, 26:551-571, 5 2004.
21. C. Stauffer and W. E. L. Crimson. Adaptive background mixture models for real-time tracking. In CVPR, pages 246-252, 1999.
22. A. Tamrakar and B. B. Kimia. Medial visual fragments as an intermediate image representation for segmentation and perceptual grouping. In POCV, page 47, 2004.
23. S. Ullman, M. Vidal-Naquet, and E. Sali. Visual features of intermediate complexity and their use in classification. In Nature Neuroscience, volume 5(7), page 682, 2002.
24. P. Viola and W. Wells. Alignment by maximization of mutual information. In IJCV, volume 24(2), pages 137-154, 1997.
25. S. Watanabe. Pattern recognition: Humun and Mechanical. John Wiley & Sons, Inc., 1985.