Morphable displacement field based image matching for face recognition across pose

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

Volumn 7572 LNCS, Issue PART 1, 2012, Pages 102-115

  Li, Shaoxin ^a,b   Liu, Xin ^a,b   Chai, Xiujuan ^a   Zhang, Haihong ^c   Lao, Shihong ^c   Shan, Shiguang ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c OMRON Social Solutions Co Ltd   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

3D FACES; AUTOMATIC EVALUATION; AUTOMATIC FACE RECOGNITION; CONSTRAINED QUADRATIC OPTIMIZATION; CONVEX COMBINATIONS; DISPLACEMENT FIELD; EFFECTIVE SOLUTION; FACE IMAGES; FACIAL LANDMARK; HIGH-DIMENSIONAL; LOCAL CONSISTENCY; SEMI-AUTOMATICS; VIRTUAL VIEW;

COMPUTER VISION; CONSTRAINED OPTIMIZATION; IMAGE MATCHING; SEMANTICS;

FACE RECOGNITION;

EID: 84867870750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33718-5_8     Document Type: Conference Paper

References (23)

1. Zhang, X., Gao, Y.: Face recognition across pose: A review. PR (2009)
2. Blanz, V., Vetter, T.: Face recognition based on fitting a 3d morphable model. TPAMI (2003)
3. Asthana, A.,Marks, T., Jones, M., Tieu, K., Mv, R.: Fully automatic pose-invariant face recognition via 3d pose normalization. In: ICCV (2011)
4. Cootes, T., Wheeler, G., Walker, K., Taylor, C.: View-based active appearance models. In: IVC (2002)
5. Zhang, W., Shan, S., Gao, W., Chen, X., Zhang, H.: Local gabor binary pattern histogram sequence (lgbphs): A novel non-statistical model for face representation and recognition. In: ICCV (2005)
6. Gross, R., Matthews, I., Baker, S.: Eigen light-fields and face recognition across pose. FG (2002)
7. Chai, X., Shan, S., Chen, X., Gao, W.: Locally linear regression for pose-invariant face recognition. TIP (2007)
8. Prince, S., Warrell, J., Elder, J., Felisberti, F.: Tied factor analysis for face recognition across large pose differences. TPAMI (2008)
9. Ashraf, A., Lucey, S., Chen, T.: Learning patch correspondences for improved viewpoint invariant face recognition. In: CVPR (2008)
10. Arashloo, S., Kittler, J.: Energy normalization for pose-invariant face recognition based on mrf model image matching. TPAMI (2011)
11. Castillo, C., Jacobs, D.: Wide-baseline stereo for face recognition with large pose variation. In: CVPR (2011)
12. Phillips, P., Moon, H., Rizvi, S., Rauss, P.: The feret evaluation methodology for face-recognition algorithms. TPAMI (2000)
13. Sim, T., Baker, S., Bsat, M.: The cmu pose, illumination, and expression (pie) database. FG (2002)
14. Gross, R., Matthews, I., Cohn, J., Kanade, T., Baker, S.: Multi-pie. In: IVC (2010)
15. Su, Y., Shan, S., Chen, X., Gao, W.: Hierarchical ensemble of gabor fisher classifier for face recognition. FG (2006)
16. Baocai, Y., Yanfeng, S., Chengzhang, W., Yun, G.: Bjut-3d large scale 3d face database and information processing. JCRD (2009)
17. Vetter, T., Poggio, T.: Linear object classes and image synthesis from a single example image. TPAMI (1997)
18. Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. IJCAI (1981)
19. Shewchuk, J.: An introduction to the conjugate gradient method without the agonizing pain. In: CMUCS-TR (1994)
20. Li, A., Shan, S., Chen, X., Gao, W.: Maximizing intra-individual correlations for face recognition across pose differences. In: CVPR (2009)
21. Gross, R., Matthews, I., Baker, S.: Generic vs. person specific active appearance models. In: IVC (2005)
22. Murphy-Chutorian, E., Doshi, A., Trivedi, M.: Head pose estimation for driver assistance systems: A robust algorithm and experimental evaluation. In: ITSC (2007)
23. Zhao, X., Chai, X., Niu, Z., Heng, C., Shan, S.: Context constrained facial landmark localization based on discontinuous haar-like feature. FG (2011)