Towards view-invariant expression analysis using analytic shape manifolds

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 306-313

  Taheri, Sima ^a   Turaga, Pavan ^a   Chellappa, Rama ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPRESSION ANALYSIS; FACIAL DEFORMATIONS; FACIAL EXPRESSION ANALYSIS; FACIAL EXPRESSIONS; GENERAL THEORY; GRASSMANN MANIFOLD; HUMAN-COMPUTER; PRE-PROCESSING STEP; PROJECTIVE TRANSFORMATION; RECOGNITION ALGORITHM; SHAPE MANIFOLD; SHAPE SPACE;

DEFORMATION; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT;

GESTURE RECOGNITION;

EID: 79958745478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771415     Document Type: Conference Paper

References (31)

1. A. K. Jain and S. Z. Li, Handbook of Face Recognition. Secaucus, NJ, USA: Springer-Verlag New York, Inc., 2005.
2. T. Simon, N. Minh, F. D. la Torre, and J. Cohn, "Action unit detection with segment-based SVMs," in CVPR, 2010.
3. P. Yang, Q. Liu, and M. Dimitris, "Exploring facial expression with compositional features," in CVPR, 2010.
4. Y.-L. Tian, T. Kanade, and J. F. Cohn, "Recognizing action units for facial expression analysis," TPAMI, vol. 23, pp. 97-115, 1999.
5. Z. Zhu and Q. Ji, "Robust real-time face pose and facial expression recovery," CVPR, vol. 1, pp. 681-688, 2006. (Pubitemid 44931391)
6. Y. Tong, J. Chen, and Q. Ji, "A united probabilistic framework for spontaneous facial action modeling and understanding," TPAMI, vol. 32, no. 2, pp. 258-274, 2010.
7. W.-K. Liao and G. Medioni, "3D face tracking and expression inference from a 2D sequence using manifold learning," in CVPR, 2008.
8. Y. Chang, M. Vieira, M. Turk, and L. Velho, "Automatic 3D facial expression analysis in videos," in IEEE International Workshop on Analysis and Modeling of Faces and Gestures, October 2005.
9. T. Wang and J. Lien, "Facial expression recognition system based on rigid and non-rigid motion separation and 3D pose estimation," in Pattern Recognition, vol. 42, 2009, pp. 962-977.
10. O. Rudovic, I. Patras, and M. Pantic, "Coupled gauusian process regression for pose-invariant facial expression recognition," in ECCV, 2010, pp. 350-363.
11. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, "Active shape models-their training and application," Computer Vision and Image Understanding, vol. 61, no. 1, pp. 38-59, January 1995.
12. Y. Chang, C. Hu, R. Feris, and M. Turk, "Manifold based analysis of facial expression," Image and Vision Computing, vol. 24, no. 6, pp. 605-614, 2006. (Pubitemid 43867834)
13. C.-S. Lee and A. M. Elgammal, "Nonlinear shape and appearance models for facial expression analysis and synthesis," in ICPR06, 2006, pp. II: 497-502.
14. E. Begelfor and M. Werman, "Affine invariance revisited," in CVPR, 2006, pp. 2087-2094. (Pubitemid 44931572)
15. D. G. Kendall, "Shape manifolds, procrustean metrics, and complex projective spaces," Bull. London Math. Soc., vol. 16, pp. 18-121, 1984.
16. A. Bhattacharya and R. Bhattacharya, "Nonparametric statistics on manifolds with applications to shape spaces," in IMS Collections, 2008, vol. 3, pp. 282-301.
17. P. Turaga, A. Veeraraghavan, and R. Chellappa., "Statistical analysis on stiefel and grassmann manifolds with applications in computer vision," in CVPR, 2008.
18. Y. Chikuse, Statistics on Special Manifolds. Springer, 2003.
19. A. Edelman, T. A. Arias, and S. T. Smith, "The geometry of algorithms with orthogonality constraints," SIAM J. Matrix Anal. Appl, vol. 20, pp. 303-353, 1998. (Pubitemid 129333771)
20. A. Srivastava and E. Klassen, "Bayesian and geometric subspace tracking," Advances in Applied Probability, vol. 36, no. 1, pp. 43-56, 2004.
21. V. Patrangenaru, X. Liu, and S. Sugathadasa, "A nonparametric approach to 3D shape analysis from digital camera image-I," Journal of Multivariate Analysis, vol. 101, pp. 11-31, January 2010.
22. P. Ekman and W. Friesen, The facial action coding system: a technique for the measurement of facial movement. Consulting Psychologists Press., 1978.
23. A. Savran, N. Alÿuz, H. Dibeklioǧlu, O. Ç eliktutan, B. G̈okberk, B. Sankur, and L. Akarun, "Bosphorus database for 3D face analysis," in Workshop on Biometrics and Identity Management (BIOID), 2008.
24. T. Kanade, J. F. Cohn, and Y. Tian, "Comprehensive database for facial expression analysis," in FGR, 2000, pp. 46-53.
25. G. Lipori, "Manual annotations of facial fiducial points on the Cohn-Kanade database," lAIV laboratory, University of Milan, web url: http://lipori.dsi.unimi.it/download.html.
26. P. T. Fletcher, C. Lu, S. M. Pizer, and S. Joshi, "Principal geodesic analysis for the study of nonlinear statistics of shape," IEEE Transactions on Medical Imaging, vol. 23, pp. 995-1005, 2004.
27. X. Pennec, "Intrinsic statistics on riemannian manifolds: Basic tools for geometric measurements," Journal of Mathematical Imaging and Vision, vol. 25, no. 1, pp. 127-154, 2006. (Pubitemid 44544744)
28. S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," SCIENCE, vol. 290, pp. 2323-2326, 2000. (Pubitemid 32041578)
29. A. Veeraraghavan, A. Srivastava, A. K. R. Chowdhury, and R. Chellappa, "Rate-invariant recognition of humans and their activities," IEEE Transactions on Image Processing, vol. 18, no. 6, pp. 1326-1339, 2009.
30. J. Ham and D. D. Lee, "Grassmann discriminant analysis: a unifying view on subspace-based learning," in ICML, 2008, pp. 376-383.
31. P. Lucey, J. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews, "The extended cohn-kanade dataset (CK+): A complete dataset for action unit and emotion-specified expression," in CVPR Workshop, 2010.