Perceptual distance normalization for appearance detection

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2004, Pages 23-27

  Chennubhotla, Chakra ^a   Jepson, Allan ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; EYE MOVEMENTS; FACE RECOGNITION; GRAPH THEORY; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; VECTORS; WAVELET TRANSFORMS;

APPEARANCE DETECTION; DATASETS; PERCEPTUAL DISTANCE NORMALIZATION (PDN); WEBER-CONTRAST NORMALIZATION (WCN);

EDGE DETECTION;

EID: 10044233890     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333990     Document Type: Conference Paper

References (15)

1. M. Alvira and R. Rifkin. An Empirical Comparison of SNoW and SVMs for Face Detection. CBCL, MIT, A.I. Memo:2001-004, http://www.ai.rait.edu/projects/ cbcl/ software-datasets/FaceData2.html
2. R W Buccigrossi and E P Simoncelli. Image compression via joint statistical characterization in the wavelet domain. IEEE Tran. Image Processing, 8(12):1688-1701, Dec 1999.
3. C. S. Chennubhotla Spectral Methods for Multi-Scale Feature Extraction and Data Clustering. Ph.D Thesis. Dept of Computer Science, University of Toronto, 2004. http://www. cs.toronto.edu/~chakra/thesis.pdf
4. C. Chennubhotla and A. Jepson. Sparse Principal Component Analysis. ICCV, pg. 641-647, 2001.
5. C. Chennubhotla, A. Jepson and J. Midgley. Robust Contrast-Invariant EigenDetection. ICPR, 2002.
6. Phillips P. J, H.Wechsler, J. Huang and P. Rauss The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 16(5), 295-306, 1998.
7. F. Fleuret and D. Geman. Coarse-to-Fine Face Detection. IJCV, 41(1/2):85-107, 2001.
8. C. P. Papageorgiou and T. Poggio. A Trainable System for Object Detection. IJCV, 38(1): 15-33, 2000.
9. S. Agarwal and D. Roth. Learning a Sparse Representation for Object Detection. ECCV, 2002.
10. Schmid, C. and R. Mohr. Local gray value invariants for image retreival. PAMI, 19(5):530-535, 1997.
11. H. Schneiderman and T. Kanade. Object Detection Using the Statistics of Parts. IJCV, 2002.
12. K. Sung and T. Poggio. Example-based learning for viewbased detection. PAMI, 20:39-51, 1998.
13. P. Teo and D. Heeger. Perceptual Image Distortion. ICIP, 2:982-986, 1994.
14. M. E. Tipping. Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1:211-244, 2001.
15. P. Viola and M. Jones. Robust Real-Time Object Detection. CVPR, 2001.