The best of both worlds: Combining 3D deformable models with active shape models

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Vogler, Christian ^a   Li, Zhiguo ^b   Kanaujia, Atul ^b   Goldenstein, Siome ^c   Metaxas, Dimitris ^b  

^a GALLAUDET UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

3-D DEFORMABLE MODELS; 3-D MODELING; IMAGE FEATURES;

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; DEFORMATION; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; METAL WORKING SHAPERS; PARAMETER ESTIMATION;

THREE DIMENSIONAL;

EID: 50649094502     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409015     Document Type: Conference Paper

References (21)

1. D. Beymer and T. Poggio. Image representations for visual learning. Science, 272(5270):1905-1909, 1996.
2. A. Blake and M. Isard. Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion. Springer-Verlag, 1998.
3. V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In SIGGRAPH, pages 187-194, 1999.
4. M. Brand. Morphable 3D models from video. In CVPR, 2001.
5. T. Cootes and C. Taylor. Active shape models - their training and application. CVIU, 61(1):38-59, 1995.
6. D. de Carlo and D. Metaxas. Optical flow constraints on deformable models with applications to face tracking. IJCV, 38(2):99-127, July 2000.
7. M. Dimitrijevic, S. Ilic, and P. Fua. Accurate face models from uncalibrated and ill-lit video sequences. In CVPR, pages 1034-1041, 2004.
8. S. Goldenstein and C. Vogler. When occlusions are outliers. In Workshop on the 25 Years of RANSAC (in conjunction with CVPR), 2006.
9. S. Goldenstein, C. Vogler, and D. Metaxas. Statistical Cue Integration in DAG Deformable Models. PAMI, 25(7):801-813, 2003.
10. S. Goldenstein, C. Vogler, and D. Metaxas. 3D facial tracking from corrupted movie sequences. In CVPR, 2004.
11. C. Goodall. Procrustes methods in the statistical analysis of shape. In Journal of the Royal Statistical Society B, volume 53, pages 285-339, 1991.
12. M. Isard and A. Blake. Condensation: conditional density propagation for visual tracking. 29(1):5-28, 1998.
13. M. Jones and T. Poggio. Multidimensional morphable models. In ICCV, pages 683-688, 1998.
14. A. Lanitis, C. J. Taylor, and T. F. Cootes. Automatic interpretation and coding of face images using flexible models. PAMI, 19(7):743-756, 1997.
15. F. Pighin, R. Szeliski, and D. Salesin. Modeling and animating realistic faces from images. IJCV, 50(2):143-169, 2002.
16. H. Tao and T. Huang. Visual Estimation and Compression of Facial Motion Parameters: Elements of a 3D Model-Based Video Coding System. IJCV, 50(2):111-125, 2002.
17. T.F.Cootes, G. Edwards, and C.J.Taylor. Active appearance models. PAMI, 23(6):681-685, 2001.
18. P. Viola and M. Jones. Robust real-time face detection. IJCV, 57(2):137-154, 2004.
19. C. Vogler, S. Goldenstein, J. Stolfi, V. Pavlovic, and D. Metaxas. Outlier rejection in high-dimensional deformable models. IVC, 25(3):274-284, 2007.
20. L. Wang, W. Hu, and T. Tan. Face tracking using motion-guided dynamic template matching. In ACCV, 2002.
21. J. Xiao, S. Baker, I. Matthews, and T. Kanade. Real-time combined 2d+3d active appearance models. In CVPR, 2004.