Facial expression invariant head pose normalization using Gaussian Process Regression

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 28-33

  Rudovic, Ognjen ^a   Patras, Ioannis ^b   Pantic, Maja ^a,c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE METHODS; DISCRETE SETS; FACIAL EXPRESSIONS; FACIAL LANDMARK; GAUSSIAN PROCESS REGRESSION; HEAD POSE; LOW-DIMENSIONAL MANIFOLDS; MULTI-CLASS; POINT DISTRIBUTION MODELS; POINT LOCATION; POSE NORMALIZATION; POSE SPACE;

COMPUTER VISION; FACE RECOGNITION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); REGRESSION ANALYSIS; ROTATION; TECHNICAL PRESENTATIONS;

THREE DIMENSIONAL;

EID: 77956534634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543269     Document Type: Conference Paper

References (17)

1. A. Asthana, R. Goecke, N. Quadrianto, and T. Gedeon. Learning based automatic face annotation for arbitrary poses and expressions from frontal images only. In CVPR, pages 1635-1642, 2009. 1
2. C. M. Bishop. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, 2007. 4, 5
3. V. Blanz, P. Grother, J. P. Phillips, and T. Vetter. Face recognition based on frontal views generated from non-frontal images. In CVPR, pages 454-461, 2005. 1
4. X. Chai, S. Shan, X. Chen, and W. Gao. Local linear regression (llr) for pose invariant face recognition. In AFGR, pages 631-636, 2006. 2 (Pubitemid 44711419)
5. X. Chai, S. Shan, and W. Gao. Pose normalization for robust face recognition based on statistical affine transformation. In ICSP, pages 1413-1417, 2003. 2
6. T. Cootes and C. Taylor. Active shape models-smart snakes. In BMVC, pages 266-275, 1992. 1
7. T. Cootes, G. Wheeler, K.Walker, and C. Taylor. View-based active appearance models. Image and Vision Computing, 20(9-10):657-664, 2002. 1
8. S. Du and R. Ward. Component-wise pose normalization for pose-invariant face recognition. In ICASSP, pages 873-876, 2009. 2
9. D. Gonzalez-Jimenez and J. Alba-Castro. Symmetry-aided frontal view synthesis for pose-robust face recognition. In ICASSP 2007, pages II-237-II-240, 2007. 1
10. S. Kumano, K. Otsuka, J. Yamato, E. Maeda, and Y. Sato. Pose-invariant facial expression recognition using variable-intensity templates. Int'l J. Computer Vision, 83(2):178-194, 2009. 1
11. E. Murphy-Chutorian and M. M. Trivedi. Head pose estimation in computer vision: A survey. IEEE Trans. Pattern Analysis and Machine Intelligence, 31(4):607-626, 2009. 3
12. M. Pantic and L. J. M. Rothkrantz. Automatic analysis of facial expressions: The state of the art. IEEE Trans. Pattern Analysis and Machine Intelligence, 22:1424-1445, 2000. 1
13. C. E. Rasmussen and C. K. I.Williams. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning). The MIT Press, 2005. 2, 3, 4
14. M. Valstar, B. Martinez, X. Binefa, and M. Pantic. Facial point detection using boosted regression and graph models. In CVPR, 2010. 2
15. J. Wang, L. Yin, X. Wei, and Y. Sun. 3d facial expression recognition based on primitive surface feature distribution. In CVPR, pages 1399-1406, 2006. 4 (Pubitemid 44931484)
16. T.-H. Wang and J.-J. J. Lien. Facial expression recognition system based on rigid and non-rigid motion separation and 3d pose estimation. Pattern Recognition, 42(5):962-977, 2009. 1
17. Z. Zhu and Q. Ji. Robust real-time face pose and facial expression recovery. In CVPR, pages 681-688, 2006. 1, 2, 5