Multi-view face image synthesis using factorization model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3058, Issue , 2004, Pages 200-210

  Du, Yangzhou ^a   Lin, Xueyin ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FACE RECOGNITION; FACTORIZATION; IMAGE PROCESSING; VIRTUAL REALITY;

BROAD AREAS; FACE DATABASE; FACE IMAGE SYNTHESIS; FACE SYNTHESIS; FACTORIZATION MODEL; GLOBAL OPTIMUM SOLUTIONS; GROUND TRUTH; HUMAN IDENTITY;

HUMAN COMPUTER INTERACTION;

EID: 35048847920     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24837-8_19     Document Type: Article

References (22)

1. Vetter, T.: Synthesis of novel views from a single face image. International Journal of Computer Vision, v 28, n 2, (1998) 103-116
2. Vetter, T., Poggio, T.: Linear object classes and image synthesis from a single example image. IEEE Transactions on Pattern Analysis and Machine Intelligence, v 19, n 7 (1997) 733-742
3. Blanz, V., Vetter, T.: Morphable model for the synthesis of 3D faces. In Proceedings of the ACM SIGGRAPH Conference on Computer Graphics (1999) 187-194
4. Seitz, S.M., Dyer, C.R.: View morphing. In Proceedings of the ACM SIGGRAPH Conference on Computer Graphics (1996) 21-42
5. Lanitis, A., Taylor, C. J., Cootes, T. F.: Automatic interpretation and coding of face images using flexible models. IEEE Transactions on Pattern Analysis and Machine Intelligence, v 19, n 7 (1997) 743-756
6. Cootes, T.F., Wheeler, G.V., Walker, K.N., Taylor, C.J.: View-based active appearance models. Image and Vision Computing, v 20, n 9-10 (2002) 657-664
7. Okada, K., Von der Malsburg, C.: Analysis and synthesis of human faces with pose variations by a parametric piecewise linear subspace method. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v 1 (2001)1761-1768
8. Okada, K., Akamatsu, S., Von der Malsburg, C.: Analysis and synthesis of pose variations of human faces by a linear PCMAP model. In Proceedings of the International Conference on Automatic Face and Gesture Recognition (2000) 142-149
9. Tenenbaum, J.B., Freeman, W.T.: Separating style and content with bilinear models. Neural Computation, vol. 12, (2000) 1247-1283
10. Chuang, E., Deshpande, H. Bregler, C.: Facial Expression Space Learning, In Proceedings of Pacific Graphics, (2002)
11. Grimes, D.B., Shon, A.P., Rao, R.P.N.: Probabilistic bilinear models for appearance-based vision. In Proceedings of the IEEE International Conference on Computer Vision, v 2, (2003) 1478-1485
12. Davis, J.W., Gao, H: Recognizing human action efforts: An adaptive three-mode PCA framework. In: Proceedings of the IEEE International Conference on Computer Vision, v 2 (2003) 1463-1469
13. Wang, H., Ahuja, N.: Facial expression decomposition. In: Proceedings of the IEEE International Conference on Computer Vision, v 2 (2003) 958-965
14. Du, Y., Lin, X.: Nonlinear factorization models using kernel approaches. In: Proceedings of the Asian Conference on Computer Vision, v1 (2004) 426-431
15. Vapnik, V.N.: The nature of statistical learning theory. Springer Verlag, New York (1995)
16. Baudat, G., Anouar, F.: Generalized discriminant analysis using a kernel approach. Neural Computation, vol. 12, no. 10. (2000) 2385-2404
17. Schölkopf, B., Smola, A.J., Müller, K.-R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, vol. 10, (1998) 1299-1319
18. Mika, S., Schölkopf, B., Smola, A.J., Müller, K.-R., Scholz, M., Rätsch, G.: Kernel PCA and de-noising in feature spaces. In Advances in Neural Information Processing Systems 11, (1999) 536-542
19. Sim, T., Baker, S. Bsat, M.: The CMU Pose, Illumination, and Expression (PIE) Database. In Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, (2002)
20. Romdhani, S., Gong, S., Psarrou, A.: A Multi-View Nonlinear Active Shape Model Using Kernel PCA. In Proceedings of the British Machine Vision Conference, (1999) 483-492
21. http://www.ingber.com/ASA-README.html
22. Shashua, A., Riklin-Raviv, T.: Quotient image: Class-based re-rendering and recognition with varying illuminations. IEEE Transactions on Pattern Analysis and Machine Intelligence, v 23, n 2 (2001) 129-139