Salient and non-salient fiducial detection using a probabilistic graphical model

Pattern Recognition

Volumn 47, Issue 1, 2014, Pages 208-215

  Benitez Quiroz, C F ^a   Rivera, Samuel ^a   Gotardo, Paulo F U ^a   Martinez, Aleix M ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Detailed face shape detection; Face detection; Landmark detection; Probabilistic graphical model; Shape modeling

Indexed keywords

FACE SHAPES; HOMOGENEOUS STRUCTURE; LANDMARK DETECTION; PROBABILISTIC GRAPHICAL MODELS; PROBABILISTIC GRAPHS; SHAPE MODEL; STANDARD DETECTORS; STATISTICAL PATTERN RECOGNITION APPROACH;

DEFORMATION;

FACE RECOGNITION;

EID: 84885020865     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2013.06.013     Document Type: Article

References (25)

1. A.M. Martinez, and S. Du A model of the perception of facial expressions of emotion by humans research overview and perspectives Journal of Machine Learning Research 31 1 2012 1589 1608
2. M. Berger, J. Ponroy, B. Wrobel-Dautcourt, Realistic face animation for audiovisual speech applications: a densification approach driven by sparse stereo meshes, in: Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques Fourth International Conference, MIRAGE 2009, vol. 5496, 2009, pp. 297-307.
3. O.C. Hamsici, P.F.U. Gotardo, A.M. Martínez, Learning spatially-smooth mappings in non-rigid structure from motion, in: Proceedings of the European Conference on Computer Vision, 2012, pp. 260-273.
4. P.F. Felzenszwalb, and D.P. Huttenlocher Pictorial structures for object recognition International Journal of Computer Vision 61 1 2005 55 79
5. L. Gu, T. Kanade, A generative shape regularization model for robust face alignment, in: Proceedings of the European Conference on Computer Vision, 2008, pp. 413-426.
6. M. Everingham, J. Sivic, A. Zisserman, Hello! my name is.buffy - automatic naming of characters in tv video, in: Proceedings of the British Machine Vision Conference, 2006.
7. V. Blanz, T. Vetter, A morphable model for the synthesis of 3D faces, in: Proceedings of SIGGRAPH, 1999, pp. 187-194.
8. L. Gu, T. Kanade, 3D alignment of face in a single image, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006, pp. 1305-1312. (Pubitemid 44931471)
9. T.F. Cootes, G.J. Edwards, C.J. Taylor, Active appearance models, in: Proceedings of the European Conference on Computer Vision, vol. 1407, 1998, pp. 484-498. (Pubitemid 128093046)
10. L. Ding, and A.M. Martinez Features versus context an approach for precise and detailed detection and delineation of faces and facial features IEEE Transactions on Pattern Analysis and Machine Intelligence 32 2010 2022 2038
11. T. Moriyama, T. Kanade, J. Xiao, and J.F. Cohn Meticulously detailed eye region model and its application to analysis of facial images IEEE Transactions on Pattern Analysis and Machine Intelligence 28 5 2006 738 752
12. F. Zhou, F. De la Torre, J. Cohn, Unsupervised discovery of facial events, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010.
13. P. Li, S.J.D. Prince, Joint and implicit registration for face recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 1510-1517.
14. R. Sznitman, and B. Jedynak Active testing for face detection and localization IEEE Transactions on Pattern Analysis and Machine Intelligence 32 2010 1914 1920
15. S. Rivera, and A.M. Martinez Learning deformable shape manifolds Pattern Recognition 45 4 2012 1792 1801
16. A. Gray, E. Moore, Very fast multivariate kernel density estimation using via computational geometry, in: Proceedings of the Joint Statistical Meeting, 2003.
17. E. Shechtman, M. Irani, Matching local self-similarities across images and videos, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007.
18. S. Mika, G. Ratsch, J. Weston, B. Scholkopf, K. Muller, Fisher discriminant analysis with kernels, in: Proceedings of the IEEE Neural Networks for Signal Processing Workshop, 1999, pp. 41-48. (Pubitemid 30510358)
19. G. Baudat, and F. Anouar Generalized discriminant analysis using a kernel approach Neural Computation 12 10 2000 2404 2835
20. D. You, O. Hamsici, and A.M. Martinez Kernel optimization in discriminant analysis IEEE Transactions on Pattern Analysis and Machine Intelligence 33 3 2011 631 638
21. S. Geman, and D. Geman Readings in Computer Vision Issues, Problems, Principles, and Paradigms 1987 Morgan Kaufmann Publishers, Inc San Francisco, CA, USA
22. A. Martínez, R. Benavente, The AR Face Database, Technical Report 24, Computer Vision Center, June 1998.
23. B. Huang, M. Ramesh, T. Berg, E. Learned-Miller, Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments, Technical Report 07-49, University of Massachusetts, Amherst, October 2007.
24. K. Messer, J. Matas, J. Kittler, K. Jonsson, Xm2vtsdb: the extended m2vts database, in: Proceedings of the Second International Conference on Audio and Video-based Biometric Person Authentication, 1999, pp. 72-77.
25. M.B. Stegmann, D.D. Gomez, A Brief Introduction to Statistical Shape Analysis, Technical Report, Technical University of Denmark, 2002.