Learning personal specific facial dynamics for face recognition from videos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4778 LNCS, Issue , 2007, Pages 1-15

  Hadid, Abdenour ^a   Pietikäinen, Matti ^a   Li, Stan Z ^b  

^a UNIVERSITY OF OULU   (Finland)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Boosting; Face recognition; Facial dynamics; Local binary patterns

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; INFORMATION ANALYSIS; LEARNING SYSTEMS;

FACIAL DYNAMICS; LBP (LOCAL BINARY PATTERN FEATURES); LOCAL BINARY PATTERNS; SPATIOTEMPORAL FACE RECOGNITION;

FACE RECOGNITION;

EID: 38149016853     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75690-3_1     Document Type: Conference Paper

References (22)

1. O'Toole, A.J., Roark, D.A., Abdi, H.: Recognizing moving faces: A psychological and neural synthesis. Trends in Cognitive Science 6, 261-266 (2002)
2. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surveys 34(4), 399-458 (2003)
3. Li, Y.: Dynamic Face Models: Construction and Applications. PhD thesis, Queen Mary, University of London (2001)
4. Li, B., Chellappa, R.: Face verification through tracking facial features. Journal of the Optical Society of America 18, 2969-2981 (2001)
5. Zhou, S., Chellappa, R.: Probabilistic human recognition from video. In: European Conf. on Computer Vision, pp. 681-697 (May 2002)
6. Zhou, S., Krueger, V., Chellappa, R.: Face recognition from video: A condensation approach. In: IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp. 221-228. IEEE Computer Society Press, Los Alamitos (May 2002)
7. Aggarwal, G., Chowdhury, A.R., Chellappa, R.: A system identification approach for video based face recognition. In: 17th International Conference on Pattern Recognition, vol. 4, pp. 175-178 (August 2004)
8. Liu, X., Chen, T.: Video-based face recognition using adaptive hidden markov models. In: IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 340-345. IEEE Computer Society Press, Los Alamitos (June 2003)
9. Lee, K.C., Ho, J., Yang, M.H., Kriegman, D.: Video-based face recognition using probabilistic appearance manifolds. In: IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 313-320. IEEE Computer Society Press, Los Alamitos (June 2003)
10. Soatto, S., Doretto, G., Wu, Y.: Dynamic textures. In: International Conference on Computer Vision, Vancouver, BC, Canada, vol. 2, pp. 439-446 (July 2001)
11. Heisele, B., Ho, P., Wu, J., Poggio, T.: Face recognition: Component based versus global approaches. Computer Vision and Image Understanding 91(1-2), 6-21 (2003)
12. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 971-987 (2002)
13. Añonen, T., Hadid, A., Pietikäinen, M.: Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), 2037-2041 (2006)
14. Zhao, G., Pietikäinen, M.: Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(6), 915-928 (2007)
15. Freund, Y., Schapire, R.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1), 119-139 (1997)
16. Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recognition 29,51-59 (1996)
17. Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. In: Proceedings of the IEEE, vol. 77(2), pp. 257-286. IEEE Computer Society Press, Los Alamitos (1989)
18. Cock, K., Moor, B.D.: Subspace angles between ARMA models. Systems and Control Letters 46(4), 265-270 (2002)
19. Hadid, A., Pietikäinen, M.: Selecting models from videos for appearance-based face recognition. In: 17th International Conference on Pattern Recognition, vol. 1, pp. 304-308 (August 2004)
20. Gross, R., Shi, J.: The CMU Motion of Body (MoBo) database. Technical Report CMU-RI-TR-01-18, Robotics Institute, Carnegie Mellon University (June 2001)
21. CRIM: http://www.crim.ca/
22. Krueger, V., Zhou, S.: Exemplar-based face recognition from video. In: European Conf. on Computer Vision, pp. 732-746 (May 2002)