Real time head pose estimation with random regression forests

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

Volumn , Issue , 2011, Pages 617-624

  Fanelli, Gabriele ^a   Gall, Juergen ^a   Van Gool, Luc ^a,b  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; REGRESSION ANALYSIS;

ANNOTATED TRAINING DATA; FACIAL EXPRESSIONS; HEAD POSE ESTIMATION; PARTIAL OCCLUSIONS; REGRESSION FORESTS; REGRESSION PROBLEM; STATE-OF-THE-ART PERFORMANCE; STATISTICAL MODELING;

IMAGE RECOGNITION;

EID: 80052874104     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995458     Document Type: Conference Paper

References (30)

1. V. N. Balasubramanian, J. Ye, and S. Panchanathan. Biased manifold embedding: A framework for person-independent head pose estimation. In CVPR, 2007.
2. L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
3. L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Wadsworth and Brooks, Monterey, CA, 1984.
4. M. D. Breitenstein, D. Kuettel, T. Weise, L. Van Gool, and H. Pfister. Real-time face pose estimation from single range images. In CVPR, 2008.
5. Q. Cai, D. Gallup, C. Zhang, and Z. Zhang. 3d deformable face tracking with a commodity depth camera. In ECCV, 2010.
6. L. Chen, L. Zhang, Y. Hu, M. Li, and H. Zhang. Head pose estimation using fisher manifold learning. In Workshop on Analysis and Modeling of Faces and Gestures, 2003.
7. Y. Cheng. Mean shift, mode seeking, and clustering. TPAMI, 17:790-799, 1995.
8. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. TPAMI, 23:681-685, 2001.
9. T. F. Cootes, G. V. Wheeler, K. N. Walker, and C. J. Taylor. View-based active appearance models. Image and Vision Computing, 20(9-10):657-664, 2002.
10. A. Criminisi, J. Shotton, D. Robertson, and E. Konukoglu. Regression forests for efficient anatomy detection and localization in ct studies. In Medical Computer Vision Workshop, 2010.
11. J. Gall, A. Yao, N. Razavi, L. Van Gool, and V. Lempitsky. Hough forests for object detection, tracking, and action recognition. TPAMI, 2011.
12. C. Huang, X. Ding, and C. Fang. Head pose estimation based on random forests for multiclass classification. In ICPR, 2010.
13. M. Jones and P. Viola. Fast multi-view face detection. Technical Report TR2003-096, Mitsubishi Electric Research Laboratories, 2003.
14. V. Lepetit and P. Fua. Keypoint recognition using randomized trees. TPAMI, 28:1465-1479, 2006.
15. S. Malassiotis and M. G. Strintzis. Robust real-time 3d head pose estimation from range data. Pattern Recognition, 38:1153-1165, 2005.
16. Y. Matsumoto and A. Zelinsky. An algorithm for real-time stereo vision implementation of head pose and gaze direction measurement. In Aut. Face and Gestures Rec., 2000.
17. A. Mian, M. Bennamoun, and R. Owens. Automatic 3d face detection, normalization and recognition. In 3DPVT, 2006.
18. L.-P. Morency, P. Sundberg, and T. Darrell. Pose estimation using 3d view-based eigenspaces. In Aut. Face and Gestures Rec., 2003.
19. E. Murphy-Chutorian and M. Trivedi. Head pose estimation in computer vision: A survey. TPAMI, 31(4):607-626, 2009.
20. R. Okada. Discriminative generalized hough transform for object dectection. In ICCV, 2009.
21. M. Osadchy, M. L. Miller, and Y. LeCun. Synergistic face detection and pose estimation with energy-based models. In NIPS, 2005.
22. P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter. A 3d face model for pose and illumination invariant face recognition. In Advanced Video and Signal based Surveillance, 2009.
23. K. Ramnath, S. Koterba, J. Xiao, C. Hu, I. Matthews, S. Baker, J. Cohn, and T. Kanade. Multi-view aam fitting and construction. IJCV, 76:183-204, 2008.
24. E. Seemann, K. Nickel, and R. Stiefelhagen. Head pose estimation using stereo vision for human-robot interaction. In Aut. Face and Gestures Rec., 2004.
25. M. Storer, M. Urschler, and H. Bischof. 3d-mam: 3d morphable appearance model for efficient fine head pose estimation from still images. In Workshop on Subspace Methods, 2009.
26. T. Vatahska, M. Bennewitz, and S. Behnke. Feature-based head pose estimation from images. In Humanoids, 2007.
27. T. Weise, B. Leibe, and L. Van Gool. Fast 3d scanning with automatic motion compensation. In CVPR, 2007.
28. J. Whitehill and J. R. Movellan. A discriminative approach to frame-by-frame head pose tracking. In Aut. Face and Gestures Rec., 2008.
29. R. Yang and Z. Zhang. Model-based head pose tracking with stereovision. Aut. Face and Gestures Rec., 2002.
30. J. Yao and W. K. Cham. Efficient model-based linear head motion recovery from movies. In CVPR, 2004.