Continuous procrustes analysis to learn 2D shape models from 3D objects

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

Volumn , Issue , 2010, Pages 17-22

  Igual, Laura ^a   De La Torre, Fernando ^b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

3D TRANSFORMATIONS; ACTIVE SHAPE MODELS; OBJECT TRACKING; POINT DISTRIBUTION MODELS; PROCRUSTES ANALYSIS; RIGID TRANSFORMATIONS; TRAINING SAMPLE; UNIFORM SAMPLING;

COMPUTER VISION;

EID: 77956498636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543280     Document Type: Conference Paper

References (22)

1. S. Baker, I. Matthews, and J. Schneider. Automatic construction of active appearance models as an image coding problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(10):1380-1384, October 2004.
2. V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In SIGGRAPH, 1999.
3. T. Cootes, G. Edwards, and C. Taylor. Active appearance models. PAMI, 23(6):681-685, 2001.
4. T. Cootes and C. Taylor. Statistical models of appearance for computer vision. In Tech. Report., 2001.
5. M. Cox, S. Lucey, S. Sridharan, and J. Cohn. Least squarescongealing for unsupervised alignment of images. In IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
6. F. De la Torre and M. J. Black. Robust parameterized component analysis: theory and applications to 2d facial appearance models. Computer Vision and Image Understanding, 91:53-71, 2003.
7. F. De la Torre and M. Nguyen. Parameterized kernel principal component analysis: Theory and applications to supervised and unsupervised image alignment. In IEEE Computer Vision and Pattern Recognition, 2008.
8. B. J. Frey and N. Jojic. Transformation-invariant clustering and dimensionality reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear.
9. S. Gong, S. Mckenna, and A. Psarrou. Dynamic Vision: From Images to Face Recognition. Imperial College Press, 2000.
10. C. Goodall. Procrustes methods in the statistical analysis of shape. Journal of the Royal Statistical Society B, 53(2):285-339, 1991.
11. R. Gross, I. Matthews, J. F. Cohn, T. Kanade, and S. Baker. The cmu multi-pose, illumination, and expression (multi-pie) face database. Technical report, Carnegie Mellon University Robotics Institute.TR-07-08, 2007.
12. G. Huang, V. Jain, and E. Learned-Miller. Unsupervised joint alignment of complex images. In International Conference on Computer Vision, October, Brazil 2007.
13. M. J. Jones and T. Poggio. Multidimensional morphable models. In International Conference on Computer Vision, pages 683-688, 1998.
14. I. Kookinos and A. Yuille. Unsupervised learning of object deformation models. In International Conference on Computer Vision, October, Brazil 2007.
15. E. G. Learned-Miller. Data driven image models through continuous joint alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(2):236-250, 2006.
16. A. Levin and A. Shashua. Principal component analysis over continuous subspaces and intersection of half-spaces. In ECCV (3), pages 635-650, 2002.
17. D. Mumford and J. Shah. Optimal approximations by piecewise smooth functions and associated variational problems. Communications on Pure and Applied Mathematics, 42(5):577-685, 1989.
18. D. Ormoneit, M. J. Black, T. Hastie, and H. Kjellström. Representing cyclic human motion using functional analysis. Image Vision Comput., 23(14):1264-1276, 2005.
19. S. Osher and N. Paragios. Geometric Level Set Methods in Imaging, Vision, and Graphics. Springer-Verlag New York, Inc., 2003.
20. J. Ramsay and B. Silverman. Functional Data Analysis. Springer, 1997.
21. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: a factorization method. Int. Journal of Computer Vision., 9(2):137-154, 1992.
22. S. Ullman and R. Basri. Recognition by linear combinations of models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(10):992-1006, 1991.