Probabilistic automatic red eye detection and correction

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2006, Pages 762-765

  Willamowski, Jutta ^a   Csurka, Gabriela ^a  

^a XEROX RESEARCH CENTRE EUROPE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MAPS; NUMERICAL METHODS; PIXELS; PROBABILITY;

PROBABILITY MAPS; RED EYE DETECTION;

PATTERN RECOGNITION;

EID: 34147109216     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.944     Document Type: Conference Paper

References (8)

1. M. Gaubatz and R. Ulichney, Automatic red-eye detection and correction, ICIP 2002
2. S. Ioffe, Red eye detection with machine learning, ICIP 2003.
3. R. Schettini, F. Gasparini and F. Chazli A modular procedure for automatic redeye correction in digital photos, Electronic Imaging Science and Technology, SPIE 2004
4. L. Zhang, Y. Sun, M. Li, and H. Zhang, Automated Red-Eye Detection and Correction in Digital Photographs, ICIP 2004
5. B. Smolka, K. Czubin, J. Hardeberg, K. Plataniotis, M. Szczepanski, K. Wojciechowski, Towards automatic redeye effect removal, Pattern recognition letter, 24, 2003.
6. H. Luo, J. Yen and D. Tretter, An Efficient Automatic Redeye Detection and Correction Algorithm, ICPR 2004
7. K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, CVPR 2003.
8. B. Krishnapuram, L. Carin, M. A. T. Figueiredo, A. J. Hartemink, Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds, IEEE TPAMI, Vol 27, No. 6