Fully automatic pose-invariant face recognition via 3D pose normalization

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 937-944

  Asthana, Akshay ^a,b   Marks, Tim K ^a   Jones, Michael J ^a   Tieu, Kinh H ^a,c   Rohith, M V ^a,d  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c Heartland Robotics   (United States)

^d UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SYSTEMS; CURRENT SYSTEM; FACIAL FEATURE POINTS; MANUAL INTERVENTION; PITCH ANGLE; POSE NORMALIZATION; POSE VARIATION; POSE-INVARIANT FACE RECOGNITION;

DATABASE SYSTEMS; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 84856688108     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126336     Document Type: Conference Paper

References (27)

1. A. Asthana, C. Sanderson, T. Gedeon, and R. Goecke. Learningbased face synthesis for pose-robust recognition from single image. In BMVC09, 2009. 4,5,7,8
2. S. Avidan and A. Shamir. Seam carving for content-aware image resizing. ACM Trans. Graph., 26, July 2007. 3
3. S. Baker, R. Gross, and I. Matthews. Lucas-Kanade 20 years on: A unifying framework: Part 3. Technical report, RI, Carnegie Mellon University, USA, 2003. 4
4. V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In SIGGRAPH. 1999. 3,4,6,7
5. V. Blanz and T. Vetter. Face Recognition Based on Fitting a 3D Morphable Model. IEEE PAMI, 25(9), 2003. 2, 8
6. P. Breuer, K. Kim, W. Kienzle, B. Scholkopf, and V. Blanz. Automatic 3D Face Reconstruction from Single Images or Video. In FG 2008.2
7. C. D. Castillo and D. W. Jacobs. Using stereo matching with general epipolar geometry for 2D face recognition across pose. TEEE PAMT, 31(12),2007. 7,8
8. X. Chai, S. Shan, X. Chen, and W. Gao. Locally linear regression for pose-invariant face recognition. IEEE Trans. Image Proc., 16(7), 2007. 1,7,8
9. T. Cootes, K. Walker, and C.J.Taylor. View-Based Active Appearance Models. In Proc. FG'OO, 2000. 3
10. S. Du and R. Ward. Component-wise pose normalization for poseinvariant face recognition. In TEEE TCASSP, 2009. 1
11. G. Edwards, C. Taylor, and T. Cootes. Interpreting Face Images Using Active Appearance Models. In FG 1998. 2,4
12. H. Gao, H. K. Ekenel, and R. Stiefelhagen. Pose normalization for local appearance-based face recognition. In Proc. 3rd IntI. Conlon Advances in Biometrics, 2009. 1,4,5,7
13. G. H. Golub and C. F. Van Loan. Matrix Computations. Johns Hopkins University Press, 1989. 3
14. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-PIE. In FG, 2008. 3, 6
15. J. Heo and M. Savvides. Face recognition across pose using view based active appearance models (VBAAMs) on CMU Multi-PIE dataset. In ICVS, 2008. 1, 4, 5
16. T. Kanade and A. Yamada. Multi-Subregion Based Probabilistic Approach Toward Pose-Invariant Face Recognition. In TEEE CTRA, 2003. 7,8
17. G. Little, S. Krishna, J. Black, and S. Panchanathan. A methodology for evaluating robustness of face recognition algorithms with respect to changes in pose and illumination angle. In TCASSP, 2005. 4,6
18. U. Montanari. On the optimal detection of curves in noisy pictures. Commun. ACM, 14:335-345, May 1971. 3
19. P. Phillips, H. Moon, S. Rizvi, and P. Rauss. The FERET Evaluation Methodology for Face Recognition Algorithms. In TEEE PAMT, pages 1090-1104, 2000. 2, 6
20. M. Saquib Sarfraz and O. Hellwich. Probabilistic learning for fully automatic face recognition across pose. Image Vision Comput., 28:744-753, May 2010. 2,7,8
21. J. M. Saragih and R. Goecke. Learning AAM fitting through simulation. Pallern Recognition, 42( II ):2628-2636, Nov. 2009. 4
22. M. S. Sarfraz. Towards Automatic Face Recognition in Unconstrained Scenarios. PhD thesis, Technische Universitat Berlin, 2008. 2,7,8
23. T. Sim, S. Baker, and M. Bsat. The CMU Pose, Illumination, and Expression Database. TEEE PAMT, 25( 12),2003. 2,6
24. V. N. Vapnik. The Nature of Statistical Learning Theory. In SpringerVerlag, New York, TSBN 0-387-94559-8, 1995. 4
25. P. Viola and M. Jones. Robust real-time face detection. Tntl. Journal Computer Vision, 57:137-154, 2004. 2
26. J. Xiao, S. Baker, I. Matthews, and T. Kanade. Real-time combined 2D+3D active appearance models. In CVPR, 2004. 5
27. W. Zhang, S. Shan, W. Gao, X. Chen, and H. Zhang. Local gabor binary pattern histogram sequence (LGBPHS): A novel non-statistical model for face representation and recognition. TEEE TCCV, 2005. 1, 6, 7