Analysis and synthesis of pose variations of human faces by a linear PCMAP model and its application for pose-invariant face recognition system

Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

Volumn , Issue , 2000, Pages 142-149

  Okada, Kazunori ^a,c   Akamatsu, Shigeru ^c   Von Der Malsburg, Christoph ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b RUHR UNIVERSITY BOCHUM   (Germany)

^c ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MAPPING;

ANALYSIS AND SYNTHESIS; APPROXIMATION ACCURACY; GENERALIZATION CAPABILITY; ITS APPLICATIONS; POSE-INVARIANT FACE RECOGNITION; PRINCIPAL COMPONENT; SHAPE AND TEXTURES; TEXTURE SYNTHESIS;

FACE RECOGNITION;

EID: 84898465114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2000.840625     Document Type: Conference Paper

References (24)

1. D. Beymer A. Shashua and T. Poggio. Example based image analysis and synthesis. Technical Report A. I. Memo No. 1431 Artificial Intelligence Laboratory M. I. T. 1993.
2. D. J. Beymer and T. Poggio. Face recognition from one example view. Technical Report A. I. Memo No. 1536 Artificial Intelligence Laboratory M. I. T. 1995.
3. K. N. Choi M. Carcassoni and E. R. Hancock. Estimating 3d facial pose using the em algorithm. In Face Recognition: From Theory to Applications pages 412-423. Springer-Verlag Sterling UK 1998.
4. I. Craw N. Costen T. Kato G. Robertson and S. Akamatsu. Automatic face recognition: Combining configuration and texture. In Proceedings of the International Workshop on Automatic Face and Gesture Recognitio n pages 53-58 Zurich 1995.
5. S. Edelman D. Weinshall and Y. Yeshurun. Learning to recognize faces from examples. In Proceedings of the 2nd European Conference on Computer Vision volume 588 pages 787-791 1992.
6. K. Isono and S. Akamatsu. A representation for 3d faces with better feature correspondence for image generation using pca. Technical Report HIP96-17 The Institute of Electronics Info rmation and Communication Engineers 1996.
7. M. Lades J. C. Vorbrueggen J. Buhmann J. Lange C. von der Malsburg R. P. Wuertz andW. Konen. Distortion invariant object recognition in the dynamic link arch itecture. IEEE transactions on Computers 42:300-311 1993.
8. M. Lando and S. Edelman. Generalization from a single view in face recognition. In Proceedings of the International Workshop on Automatic Face and Ges ture Recognition pages 80-85 Zurich 1995.
9. A. Lanitis C. J. Taylor and T. F. Cootes. Automatic interpretation and coding of face images using flexible models. IEEE Transactions on Pattern Analysis and Machine Intelligence 19:743-755 1997.
10. T. Maurer and C. von der Malsburg. Single-view based recognition of faces rotated in depth. In Proceedings of the International Wor kshop on Automatic Face and Gesture Recognition pages 248-253 Zurich 1995.
11. T. Maurer C. von der Malsburg Tracking and learning graphs and pose on image sequencesIn Proceedings of the Internatio nal Workshop on Automatic Face and Gesture Recognition pages 176-181 Vermont 1996.
12. H. Murase and S. K. Nayar. Visual learning and recognition of 3d objects from appearance. International Journal of Computer Vision 14:5-24 1995.
13. K. Okada J. Steffens T. Maurer H. Hong E. Elagin H. Neven and C. von der Malsburg. The bochumusc face recognition system: And how it fared in the feret phase iii test. In Face Recognition: From Theory to Applications pages 186-205. Springer-Verlag Sterling UK 1998.
14. K. Okada C. von der Malsburg and S. Akamatsu. A poseinvariant face r ecognition system using linear pcmap model. Technical Report HIP99-48 The Institute of Electronics Information and Communication Engineers 1999.
15. P. J. Phillips H. Moon S. Rizvi and P. Rauss. The feret evaluation. In Face Recognition: From Theory to Applications pages 244-261. Springer-Verlag Sterling UK 1998.
16. M. Poetzsch T. Maurer L. Wiskott and C. von der Malsburg. Reconstr uction from graphs labeled with responses of gabor filters. In Proceedings of the Internatinal Conference of Artificial Neural Networks pages 845-850 Bochum 1996.
17. T. Poggio and T. Vetter. Recognition and structure from one 2d model view: Observations on prototypes object classes and symmetries. Technical Report A. I. Memo No. 1347 Artificial Intelligence Laboratory M. I. T. 1992.
18. L. Sirovich and M. Kirby. Low dimensional procedure for the characterisation of human faces. Journal of the Optical Society of America 4:519-525 1987.
19. M. Turk and A. Pentland. Eigenfaces for recognition. Journal of C ognitive Neuroscience 3:71-86 1991.
20. S. Ullman and R. Basri. Recognition by linear combinations of models. IEEE Transactions on Pattern Analysis and Machine Intelligence 13:992-1006 1991.
21. T. Vetter and T. Poggio. Linear object classes and image synthesis from a single example image. IEEE Transactions on Pattern Analysis and Machine Intelligence 19:733-742 1997.
22. T. Vetter and N. Troje. A separated linear shape and texture space for modeling two-dimensional images of human faces. Technical Report TR15 Max-Plank-Institut fur biologische Kybernetik 1995.
23. L. Wiskott J.-M. Fellous N. Krueger and C. von der Malsburg. Face recognition by elastic bunch graph matching. IEEE transactions on Pattern Analysis and Machine Intelligence 19:775-779 1997.
24. M. Xu and T. Akatsuka. Detecting head pose from stereo image sequence for active face recognition. In Proceedings of the International Workshop on Automatic Face and Gesture Recognition pages 82-87 Nara 1998.