Recognizing expressions in a new database containing played and natural expressions

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 1220-1225

  Skelley, James ^a   Fischer, Robert ^a   Sarma, Arup ^a   Heisele, Bernd ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Honda R&D Americas Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATABASE SYSTEMS; IMAGE SEGMENTATION; VIDEO SIGNAL PROCESSING;

EXPRESSION CLASSIFICATION SYSTEM; TEMPORAL SEQUENCES; VIDEO SEQUENCES;

FEATURE EXTRACTION;

EID: 34047197838     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.975     Document Type: Conference Paper

References (25)

1. M. S. Bartlett, J. C. Hager, P. Ekman, and T. J. Sejnowski. Measuring facial expressions by computer image analysis. Psychophysiology, 36:253-263, 1999.
2. M. S. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. R. Fasel, and J. R. Movellan. Recognizing facial expression: Machine learning and application to spontaneous behavior. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 568-573, 2005.
3. D. Beymer. Pose-invariant Face Recognition Using Real and Virtual Views. PhD thesis, Massachusetts Institute of Technology, EECS, 1995.
4. V. Blanz, C. Basso, T. Poggio, and T. Vetter. Reanimating faces in images and video. In Proc. of Eurographics, volume 22, pages 641-650, 2003.
5. C. Braun, M. Gruendl, C. Marberger, and C. Scherber. Beautycheck - Ursachen und Folgen von Attraktivitaet, 2001. University of Regensburg.
6. I. Cohen, N. Sebe, L. Chen, A. Garg, and T. S. Huang. Facial expression recognition from video sequences: Temporal and static modeling. Computer Vision and Image Understanding, 91(1-2):160-187, 2003.
7. E. Douglas-Cowie, R. Cowie, and M. Schroeder. A new emotion database: considerations, sources and scope. In Proc. of the ISCA Workshop on Speech and Emotion, pages 39-44, 2000.
8. T. Ezzat, G. Geiger, and T. Poggio. Trainable videorealistic speech animation. In Proc. of ACM SIGGRAPH, pages 388-398, 2002.
9. The Intel Corporation. OpenCV Online Reference Manual, 2005.
10. Y. Ivanov, B. Heisele, and T. Serre. Using component features for face recognition. In Proc. of the 6th International Conference on Automatic Face and Gesture Recognition, pages 421-426, 2004.
11. T. Kanade, J. Cohn, and Y. Tian. Comprehensive database for facial expression analysis. In Proc. of the 4th International Conference on Automatic Face and Gesture Recognition, pages 46-53, 2000.
12. A. Lanitis, C. J. Taylor, and T. F. Cootes. Active shape models-their training and application. Computer Vision and Image Understanding, 61(1):61:38-59, 1995.
13. J. J. Lien. Automatic recognition of facial expressions using hidden markov models and estimation of expression intensity. Technical Report CMU-RI-TR-98-31, Carnegie Mellon University, 1998.
14. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proc. DARPA Image Understanding Workshop, pages 121-130, 1981.
15. K. Mase. Recognition of facial expression from optical flow. IEICE Transactions, E74(10):3474-3483, 1991.
16. J. Movellan and M. Bartlett. The next generation of automatic facial expression measurement. In P. Ekman, editor, What the Face Reveals. Oxford University Press, 2003.
17. P. J. Phillips, H. Moon, P. J. Rauss, and S. Rizvi. The FERET evaluation methodology for face recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10):1090-1104, 2000.
18. N. Sebe, M. S. Lew, I. Cohen, Y. Sun, T. Gevers, and T. S. Huang. Authentic facial expression analysis. In Proc. of the 6th International Conference on Automatic Face and Gesture Recognition, pages 517-522, 2004.
19. T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression database. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(12):1615-1618, 2003.
20. J. Skelley. Experiments in expression recognition. Master's thesis, Massachusetts Institute of Technology, EECS, 2005.
21. A. J. Toole, J. Harms, S. L. Snow, D. R. Hurst, M. R. Pappas, and H. Abdi. A video database of moving faces and people. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5):812-816, 2005.
22. M. A. O. Vasilescu and D. Terzopoulos. Multilinear analysis of image ensembles. In Proc. of the European Conference on Computer Vision (ECCV'02), pages 447-460, 2002.
23. T. Vetter. Recognizing faces from a new viewpoint. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, volume 1, pages 139-144, 1997.
24. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 511-518, 2001.
25. L. Williams. Perfromance-driven facial animation. In Proc. of ACM SIGGRAPH, pages 235-242, 1990.