Nonlinear shape and appearance models for facial expression analysis and synthesis

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 497-502

  Lee, Chan Su ^a   Elgammal, Ahmed ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FACIAL EXPRESSION; GENERATIVE MODELS; NONLINEAR DEFORMATIONS;

DEFORMATION; EMBEDDED SYSTEMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS;

FACE RECOGNITION;

EID: 34047238735     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.867     Document Type: Conference Paper

References (20)

1. B. Abboud and F. Davoine. Bilinear factorisation for facial expression analysis and synthesis. IEE Proc. Vis. Image Signal Proceess., 152(3), 2005.
2. C. B. Barber, D. P. Dobkin, and H. Huhdanpaa. The quick-hull algorithm for convex hulls. ACM Trans. on Mathematical Software, 22(4):469-483, 1996.
3. F. L. Bookstein. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans. PAMI, 11(6):567-585, 1989.
4. Y. Chang, C. Hu, and M. Turk. Probabilistic expression analysis on manifolds. In Proc. of CVPR, pages 520-527, 2004.
5. E. S. Chuang, H. Deshpande, and C. Bregler. Facial expression space learning. In Proc. of PG, pages 68-76, 2002.
6. T. F. Cootes. Statistical models of appearance for computer vision. Technical report, University of Manchester, 2004.
7. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. In Proc. of ECCV, volume 2, pages 484-498, 1998.
8. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Active shape models: Their training and applications. CVIU, 61(1):38-59, 1995.
9. A. Elgammal and C.-S. Lee. Separating style and content on a nonlinear manifold. In Proc. CVPR, volume 1, pages 478-485, 2004.
10. T. Kanade, Y. Tian, and J. F. Cohn. Comprehensive database for facial expression analysis. In Proc. of FGR, pages 46-53, 2000.
11. L. D. Lathauwer, B. de Moor, and J. Vandewalle. A multilinear singular value decomposiiton. SIAM Journal On Matrix Analysis and Applications, 21(4):1253-1278, 2000.
12. C.-S. Lee and A. Elgammal. Facial expression analysis using nonlinear decomposable generative models. InAMFG, pages 17-31, 2005.
13. Y. li Tian, T. Kanade, and J. F. Cohn. Recognizing action units for facial expression analysis. IEEE Trans. PAMI, 23(2), 2001.
14. I. Matthews and S. Baker. Active appearance models revisited. IJCV, 60(2): 135-164, 2004.
15. R. W. Picard. Affective computing: Challenges. Int. Journal of Human-Computer Studies, 59(1-2):55-64, 2003.
16. K. Rohr, H. S. Stiehl, T. M. Buzug, J. Weese, and M. H. Kuhn. Landmark-based elastic registration using approximating thin-plate splines. IEEE Trans. on Medical Imaging, 20(6):526-534, 2001.
17. B. Schikopf and A. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. MIT Press, 2002.
18. T. Sim and S. Zhang. Exploring face space. In Workshop Proceedings FPIV, 2004.
19. M. A. O. Vasilescu and D. Terzopoulos. Multilinear subspace analysis of image ensembles. In Proc. of CVPR, 2003.
20. H. Wang and N. Ahuja. Facial expression decomposition. In Proceedings of the Ninth IEEE International Conference on Computer Vision, volume 2, pages 958-965, 2003.