Towards unconstrained face recognition

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Huang, Gary B ^a   Narayana, Manjunath ^a   Learned Miller, Erik ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN VARIABLES; POSE-ESTIMATION; SIMPLE METHODS; VISION FEATURES; VISION PROBLEMS;

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; ESTIMATION; FEATURE EXTRACTION; IMAGE PROCESSING; PATTERN RECOGNITION;

FACE RECOGNITION;

EID: 51849158235     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4562973     Document Type: Conference Paper

References (15)

1. A. Ferencz, E. Learned-Miller, and J. Malik. Building a classification cascade for visual identification from one example. In ICCV, 2005.
2. A. Ferencz, E. Learned-Miller, and J. Malik. Learning hyperfeatures for visual identification. In Advances in Neural Information Processing Systems, volume 18, 2005.
3. F. J. Huang and T. Chen. Tracking of multiple faces for human-computer interfaces and virtual environments. In IEEE International Conference on Multimedia and Exposition, 2000.
4. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, 2007.
5. V. Jain, A. Ferencz, and E. Learned-Miller. Discriminative training of hyper-feature models for object identification. In Proceedings of the British Machine Vision Conference, 2006.
6. J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning, 2001.
7. N. Loeff, H. Arora, A. Sorokin, and D. Forsyth. Efficient unsupervised learning for localization and detection in object categories. In Advances in Neural Information Processing Systems, 2005.
8. J. Malik, S. Belongie, J. Shi, and T. Leung. Textons, contours and regions: Cue integration in image segmentation. In International Conference on Computer Vision, 1999.
9. D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using brightness and texture. In Advances in Neural Information Processing Systems, 2002.
10. E. Nowak and F. Jurie. Learning visual similarity measures for comparing never seen objects. In cvpr, 2007.
11. M. Osadchy, Y. L. Cun, and M. L. Miller. Synergistic face detection and pose estimation with energy-based model. Journal of Machine Learning Research, 8:1197-1215, 2007.
12. T. Vatahska, M. Bennewitz, and S. Behnke. Feature-based head pose estimation from images. In Proceedings of the IEEE-RAS 7th International Conference no Humanoid Robotics, 2007.
13. P. Viola and M. Jones. Robust real-time face detection. IJCV, 2004.
14. J. Yedidia, W. Freeman, and Y. Weiss. Understanding belief propagation and its generalizations. Technical Report TR-2001-22, Mitsubishi Electric Research Laboratories, 2001.
15. W. Zhao, R. Chellappa, A. Rosenfeld, and P. J. Phillips. Face recognition: A literature survey. Technical Report CAR-TR948, University of Maryland, 2000.