Supervised descent method and its applications to face alignment

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 532-539

  Xiong, Xuehan ^a   De La Torre, Fernando ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

face alignment; facial feature tracking; non linear least squares; supervised descent method

Indexed keywords

COMPUTER VISION PROBLEMS; DESCENT METHOD; FACE ALIGNMENT; FACIAL FEATURE TRACKING; NON-LINEAR LEAST SQUARES; NONLINEAR OPTIMIZATION METHODS; NUMERICAL APPROXIMATIONS; STATE-OF-THE-ART PERFORMANCE;

PATTERN RECOGNITION; SURFACE RECONSTRUCTION;

NUMERICAL METHODS;

EID: 84887383859     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.75     Document Type: Conference Paper

References (32)

1. K. T. Abou-Moustafa, F. De la Torre, and F. P. Ferrie. Pareto discriminant analysis. In CVPR, 2010. 1
2. S. Baker and I. Matthews. Lucas-Kanade 20 years on: A unifying framework. IJCV, 56(3):221-255, March 2004. 2
3. M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan. Automatic recognition of facial actions in spontaneous expressions. Journal of Multimedia, 1(6):22-35, 2006. 6
4. P. N. Belhumeur, D. W. Jacobs, D. J. Kriegman, and N. Kumar. Localizing parts of faces using a consensus of exemplars. In CVPR, 2011. 2, 3, 5, 6
5. M. J. Black and A. D. Jepson. Eigentracking: Robust matching and tracking of objects using view-based representation. IJCV, 26(1):63-84, 1998. 1, 2
6. V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In SIGGRAPH, 1999. 2
7. G. Bradski. The OpenCV Library. Dr. Dobb's Journal of Software Tools, 2000. 5
8. A. Buchanan and A. W. Fitzgibbon. Damped newton algorithms for matrix factorization with missing data. In CVPR, 2005. 1
9. R. H. Byrd, P. Lu, and J. Nocedal. A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific and Statistical Computing, 16(5):1190-1208, 1995. 2
10. X. Cao, Y. Wei, F. Wen, and J. Sun. Face alignment by explicit shape regression. In CVPR, 2012. 4, 6
11. T. Cootes, G. Edwards, and C. Taylor. Active appearance models. TPAMI, 23(6):681-685, 2001. 2, 4, 6
12. T. F. Cootes, M. C. Ionita, C. Lindner, and P. Sauer. Robust and accurate shape model fitting using random forest regression voting. In ECCV, 2012. 3
13. D. Cristinacce and T. Cootes. Automatic feature localisation with constrained local models. Journal of Pattern Recognition, 41(10):3054-3067, 2008. 3, 6
14. F. De la Torre and M. H. Nguyen. Parameterized kernel principal component analysis: Theory and applications to supervised and unsupervised image alignment. In CVPR, 2008. 1, 2
15. P. Dollár, P. Welinder, and P. Perona. Cascaded pose regression. In CVPR, 2010. 2, 4
16. J. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5):1189-1232, 2001. 2, 4
17. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-pie. In AFGR, 2007. 6
18. Y. Huang, Q. Liu, and D. N. Metaxas. A component-based framework for generalized face alignment. IEEE Transactions on Systems, Man, and Cybernetics, 41(1):287-298, 2011. 3
19. M. J. Jones and T. Poggio. Multidimensional morphable models. In ICCV, 1998. 2
20. M. Kim, S. Kumar, V. Pavlovic, and H. Rowley. Face tracking and recognition with visual constraints in real-world videos. In CVPR, 2008. 2, 6
21. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004. 2
22. B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proceedings of Imaging Understanding Workshop, 1981. 1, 2
23. I. Matthews and S. Baker. Active appearance models revisited. IJCV, 60(2):135-164, 2004. 6
24. S. Rivera and A. M. Martinez. Learning deformable shape manifolds. Pattern Recognition, 45(4):1792-1801, 2012. 3
25. E. Sanchez, F. De la Torre, and D. Gonzalez. Continuous regression for nonrigid image alignment. In ECCV, 2012. 3
26. J. Saragih. Principal regression analysis. In CVPR, 2011. 2, 3, 5, 6
27. J. Saragih and R. Goecke. A nonlinear discriminative approach to AAM fitting. In ICCV, 2007. 2, 4
28. J. Saragih, S. Lucey, and J. Cohn. Face alignment through subspace constrained mean-shifts. In ICCV, 2009. 3
29. P. Tresadern, P. Sauer, and T. F. Cootes. Additive update predictors in active appearance models. In BMVC, 2010. 2, 4
30. G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. Robust and efficient parametric face alignment. In ICCV, 2011. 2
31. X. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR, 2012. 3
32. K. Zimmermann, J. Matas, and T. Svoboda. Tracking by an optimal sequence of linear predictors. TPAMI, 31(4):677-692, 2009. 3