Sieving regression forest votes for facial feature detection in the wild

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 1936-1943

  Yang, Heng ^a   Patras, Ioannis ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

facial feature detection; regression forests; votes sieving

Indexed keywords

FACE RECOGNITION; FORESTRY; REGRESSION ANALYSIS;

FACIAL FEATURE; FACIAL FEATURE DETECTION; GEOMETRIC CONSTRAINT; IMAGE LOCATIONS; REGRESSION FORESTS; STATE OF THE ART; THRESHOLD ADJUSTMENTS; VOTES SIEVING;

SIEVES;

EID: 84898819324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.243     Document Type: Conference Paper

References (29)

1. http://www.betaface.com/.
2. B. Amberg and T. Vetter. Optimal landmark detection using shape models and branch and bound. In ICCV, 2011.
3. O. Barinova, V. Lempitsky, and P. Kholi. On detection of multiple object instances using hough transforms. TPAMI, 2012.
4. P. Belhumeur, D. Jacobs, D. Kriegman, and N. Kumar. Localizing parts of faces using a consensus of exemplars. In CVPR, 2011.
5. X. P. Burgos-Artizzu, P. Perona, and P. Dolĺar. Robust face landmark estimation under occlusion. In ICCV, 2013.
6. X. Cao, Y. Wei, F. Wen, and J. Sun. Face alignment by explicit shape regression. In CVPR, 2012.
7. T. Cootes, M. C. Ionita, Robust and accurate shape model fitting using random forest regression voting. In ECCV, 2012.
8. T. Cootes, G. Wheeler, K. Walker, and C. Taylor. Viewbased active appearance models. Image and Vision Computing, 20(9-10), 2002.
9. A. Criminisi. Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Foundations and Trends R-in Computer Graphics and Vision, 7(2-3):81-227, 2011.
10. M. Dantone, J. Gall, G. Fanelli, and L. Van Gool. Real-time facial feature detection using conditional regression forests. In CVPR, 2012.
11. P. Dolĺar, P. Welinder, and P. Perona. Cascaded pose regression. In CVPR, 2010.
12. B. Efraty, C. Huang, S. Shah, and I. Kakadiaris. Facial landmark detection in uncontrolled conditions. In IJCB, 2011.
13. J. Gall, A. Yao, N. Razavi, L. Van Gool, and V. Lempitsky. Hough forests for object detection, tracking, and action recognition. TPAMI, 2011.
14. R. Girshick, J. Shotton, P. Kohli, A. Criminisi, and A. Fitzgibbon. Efficient regression of general-activity human poses from depth images. In ICCV, 2011.
15. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, Univ. of Massachusetts, Amherst, October 2007.
16. S. Koelstra, M. Pantic, and I. Patras. A dynamic texturebased approach to recognition of facial actions and their temporal models. TPAMI, 32(11):1940-1954, 2010.
17. P. Kontschieder, S. R. Bul̀o, M. Donoser, M. Pelillo, and H. Bischof. Evolutionary hough games for coherent object detection. Computer Vision and Image Understanding, 2012.
18. M. Kostinger, P. Wohlhart, P. Roth, and H. Bischof. Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization. In ICCV Workshops, 2011.
19. I. Patras and E. Hancock. Coupled prediction classification for robust visual tracking. TPAMI, 32(9):1553-1567, 2010.
20. N. Razavi, J. Gall, P. Kohli, and L. Van Gool. Latent hough transform for object detection. In ECCV, 2012.
21. O. Rudovic, M. Pantic, and I. Patras. Coupled gaussian processes for pose-invariant facial expression recognition. TPAMI, 2012.
22. J. Saragih, S. Lucey, and J. Cohn. Face alignment through subspace constrained mean-shifts. In ICCV, 2009.
23. M. Sun, P. Kohli, and J. Shotton. Conditional regression forests for human pose estimation. In CVPR, 2012.
24. M. Valstar, B. Martinez, X. Binefa, and M. Pantic. Facial point detection using boosted regression and graph models. In CVPR, 2010.
25. T. Wang, X. He, and N. Barnes. Learning structured hough voting for joint object detection and occlusion reasoning. In CVPR, 2013.
26. H. Yang and I. Patras. Face parts localization using structured-output regression forests. In ACCV, 2012.
27. H. Yang and I. Patras. Privileged information-based conditional regression forests for facial feature detection. In FG, 2013.
28. X. Zhu, C. C. Loy, and S. Gong. Video synopsis by heterogeneous multi-source correlation. In ICCV, 2013.
29. X. Zhu and D. Ramanan. Face detection, pose estimation and landmark localization in the wild. In CVPR, 2012.