Face alignment by coarse-to-fine shape searching

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

Volumn 07-12-June-2015, Issue , 2015, Pages 4998-5006

  Zhu, Shizhan ^a,b   Li, Cheng ^b   Loy, Chen Change ^a,c   Tang, Xiaoou ^a,c  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SENSETIME RESEARCH   (China)

^c SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER VISION; FACE RECOGNITION;

ADAPTIVE SEARCH; COARSE TO FINE; FACE ALIGNMENT; INITIAL SHAPE; LOCAL OPTIMA; POSE VARIATION; REAL TIME PERFORMANCE; STATE OF THE ART;

PATTERN RECOGNITION;

EID: 84959182922     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299134     Document Type: Conference Paper

References (41)

1. Y. Amit, D. Geman, and X. Fan. A coarse-to-fine strategy for multiclass shape detection. TPAMI, 26(12):1606-1621, 2004.
2. A. B. Ashraf, S. Lucey, J. F. Cohn, T. Chen, Z. Ambadar, K. M. Prkachin, and P. E. Solomon. The painful face-pain expression recognition using active appearance models. IVC, 27(12):1788-1796, 2009.
3. A. Asthana, S. Zafeiriou, S. Cheng, and M. Pantic. Robust discriminative response map fitting with constrained local models. In CVPR, pages 3444-3451, 2013.
4. H. Bay, T. Tuytelaars, and L. Van Gool. SURF: Speeded up robust features. In ECCV, pages 404-417, 2006.
5. P. N. Belhumeur, D. W. Jacobs, D. Kriegman, and N. Kumar. Localizing parts of faces using a consensus of exemplars. In CVPR, pages 545-552, 2011.
6. L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001.
7. T. Brox, A. Bruhn, N. Papenberg, and J. Weickert. High accuracy optical flow estimation based on a theory for warping. In ECCV, pages 25-36, 2004.
8. X. P. Burgos-Artizzu, P. Perona, and P. Dollár. Robust face landmark estimation under occlusion. In ICCV, pages 1513-1520, 2013.
9. M. Calonder, V. Lepetit, C. Strecha, and P. Fua. BRIEF: Binary robust independent elementary features. In ECCV, pages 778-792, 2010.
10. X. Cao, Y. Wei, F. Wen, and J. Sun. Face alignment by explicit shape regression. IJCV, 107(2):177-190, 2014.
11. C. Chen, A. Dantcheva, and A. Ross. Automatic facial makeup detection with application in face recognition. In ICB, pages 1-8, 2013.
12. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. TPAMI, 23(6):681-685, 2001.
13. D. Cristinacce and T. F. Cootes. Feature detection and tracking with constrained local models. In BMVC, volume 2, page 6, 2006.
14. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, volume 1, pages 886-893, 2005.
15. M. Dantone, J. Gall, G. Fanelli, and L. Van Gool. Real-time facial feature detection using conditional regression forests. In CVPR, pages 2578-2585. IEEE, 2012.
16. A. Datta, R. Feris, and D. Vaquero. Hierarchical ranking of facial attributes. In AFGR, pages 36-42. IEEE, 2011.
17. P. Dollár, P. Welinder, and P. Perona. Cascaded pose regression. In CVPR, pages 1078-1085, 2010.
18. F. Fleuret and D. Geman. Coarse-to-fine face detection. IJCV, 41(1-2):85-107, 2001.
19. J. C. Gower. Generalized procrustes analysis. Psychometrika, 40(1):33-51, 1975.
20. V. Kazemi and S. Josephine. One millisecond face alignment with an ensemble of regression trees. In CVPR, 2014.
21. V. Le, J. Brandt, Z. Lin, L. Bourdev, and T. S. Huang. Interactive facial feature localization. In ECCV, pages 679-692, 2012.
22. L. Liang, R. Xiao, F. Wen, and J. Sun. Face alignment via component-based discriminative search. In ECCV, pages 72-85. Springer, 2008.
23. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
24. I. Matthews and S. Baker. Active appearance models revisited. IJCV, 60(2):135-164, 2004.
25. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre. Xm2vtsdb: The extended m2vts database. In AVBPA, volume 964, pages 965-966. Citeseer, 1999.
26. T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. TPAMI, 24(7):971-987, 2002.
27. M. Ozuysal, M. Calonder, V. Lepetit, and P. Fua. Fast keypoint recognition using random ferns. TPAMI, 32(3):448-461, 2010.
28. M. Pavan and M. Pelillo. Dominant sets and pairwise clustering. TPAMI, 29(1):167-172, 2007.
29. S. Ren, X. Cao, Y. Wei, and J. Sun. Face alignment at 3000 fps via regressing local binary features. In CVPR, 2014.
30. C. Sagonas, G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. 300 faces in-the-wild challenge: The first facial landmark localization challenge. In ICCVW, pages 397-403, 2013.
31. J. M. Saragih, S. Lucey, and J. F. Cohn. Deformable model fitting by regularized landmark mean-shift. IJCV, 91(2):200-215, 2011.
32. B. M. Smith, J. Brandt, Z. Lin, and L. Zhang. Nonparametric context modeling of local appearance for pose-and expression-robust facial landmark localization. In CVPR, 2014.
33. Y. Sun, X. Wang, and X. Tang. Deep convolutional network cascade for facial point detection. In CVPR, pages 3476-3483, 2013.
34. G. Tzimiropoulos and M. Pantic. Gauss-Newton deformable part models for face alignment in-the-wild. In CVPR, pages 1851-1858, 2014.
35. Y. Wang, S. Lucey, and J. F. Cohn. Enforcing convexity for improved alignment with constrained local models. In CVPR, pages 1-8. IEEE, 2008.
36. J. W. Weibull. Evolutionary game theory. MIT press, 1997.
37. X. Xiong and F. De la Torre. Supervised descent method and its applications to face alignment. In CVPR, pages 532-539, 2013.
38. J. Zhang, S. Shan, M. Kan, and X. Chen. Coarse-to-fine autoencoder networks (CFAN) for real-time face alignment. In ECCV, pages 1-16. 2014.
39. Z. Zhang, P. Luo, C. C. Loy, and X. Tang. Facial landmark detection by deep multi-task learning. In ECCV, pages 94-108, 2014.
40. X. Zhao, T.-K. Kim, and W. Luo. Unified face analysis by iterative multi-output random forests. In CVPR, pages 1765-1772, 2014.
41. X. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR, pages 2879-2886, 2012.