Locally linear regression for pose-invariant face recognition

IEEE Transactions on Image Processing

Volumn 16, Issue 7, 2007, Pages 1716-1725

  Chai, Xiujuan ^a   Shan, Shiguang ^b   Chen, Xilin ^b   Gao, Wen ^a,b,c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^c PEKING UNIVERSITY   (China)

Author keywords

Dense sampling; Face recognition; Local patch; Locally linear regression (LLR); Virtual frontal view

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; LINEAR REGRESSION; MAPPING; SAMPLING;

DENSE SAMPLING; LOCALLY LINEAR REGRESSION; VIRTUAL FRONTAL VIEW;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FACE; FACIAL EXPRESSION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COMPUTER SIMULATION; FACE; FACIAL EXPRESSION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34347374479     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.899195     Document Type: Article

References (30)

1. R. Chellappa, C. L. Wilson, and S. Sirohey, "Human and machine recognition of faces: A survey," Proc. IEEE, vol. 83, no. 5, pp. 705-740, May 1995.
2. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, "Face recognition: A literature surveys," ACM Comput. Surv., vol. 35, no. 4, pp. 399-458, 2003.
3. P. Phillips, P. Grother, R. Micheals, D. Blackburn, E. Tabassi, and M. Bone, "Face recognition vendor test 2002: Evaluation report," presented at the FRVT, Mar. 2003, NIST.
4. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cogn. Neurol., vol. 3, no. 1, pp. 71-96, 1991.
5. H. Murase and S. Nayar, "Learning and recognition of 3D objects from appearance," in Proc. Qualitative Vision Workshop, New York, Jun. 1993, pp. 39-50.
6. A. Pentland, B. Moghaddam, and T. Starner, "View-based and modular eigenspace for face recognition," in Proc. IEEE Conf. Comput. Vision Pattern Recog., Seattle, WA, 1994, pp. 84-91.
7. H. Murase and S. K. Nayar, "Visual learning and recognition of 3-D objects form appearance," Int. J. Comput. Vis., vol. 14, no. 1, pp. 5-24, 1995.
8. S. McKenna, S. Gong, and J. Collins, "Face tracking and pose representation," in Proc. Brit. Machine Vision Conf., Edinburgh, U.K., 1996, pp. 755-764.
9. Z. Zhou, J. HuangFu, H. Zhang, and Z. Chen, "Neural network ensemble based view invariant face recognition," J. Comput. Study Develop. vol. 38, no. 9, pp. 1061-1065, 2001.
10. R. Gross, I. Matthews, and S. Baker, "Eigen light-fields and face recognition across pose," in Proc. 5th Int. Conf. Auto. Face and Gesture Recognition, Washington, DC, 2002, pp. 3-9.
11. R. Gross, I. Mattews, and S. Baker, "Appearance-based face recognition and light-fields," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 4, pp. 449-465, Apr. 2004.
12. V. Blanz and T. Vetter, "A morphable model for the synthesis of 3D faces," in Proc. SIGGRAPH, New York, 1999, pp. 187-194.
13. V. Blanz and T. Vetter, "Face recognition based on fitting a 3-D morphable model," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 9, pp. 1063-1074, Sep. 2003.
14. W. Zhao and R. Chellappa, "SFS based view synthesis for robust face recognition," in Proc. 4th Int. Conf. Auto. Face and Gesture Recognition, Grenoble, France, 2000, pp. 285-292.
15. G. Feng and P. C. Yuen, "Recognition of head-&-shoulder face image using virtual frontal-view image," IEEE Trans. Syst., Man, Cybern. A, Cybern., vol. 30, no. 6, pp. 871-883, Jun. 2000.
16. A. S. Georghiades, P. N. Belhumeur, and D. J. Keiegman, "From few to many: Illumination cone models for face recognition under variable lighting and poses," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 643-660, Jun. 2001.
17. M. W. Lee and S. Ranganath, "Pose-invariant face recognition using a 3D deformable model," Pattern Recognit., vol. 36, no. 8, pp. 1835-1846, 2003.
18. D. Jiang, Y. Hu, S. Yan, L. Zhang, H. Zhang, and W. Gao, "Efficient 3D reconstruction for face reconstruction," Pattern Recognit., vol. 38, no. 6, pp. 787-798, 2005.
19. T. F. Cootes, G. J. Edwards, and C. J. Taylor, "Active appearance models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 681-685, Jun. 2001.
20. T. Cootes, K. Walker, and C. Taylor, "View-based active appearance models," in Proc. 4th Int. Conf. Auto. Face and Gesture Recognition Washington, DC, 2000, pp. 227-238.
21. T. Poggio and T. Vetter, "Recognition and structure from one 2-d model view: Observations on prototypes, object classes, and symmetries," Tech. Rep. A. I. Memo, Artif. Intell. Lab., Mass. Inst. Technol., Cambridge, No. 1347, 1992.
22. D. Beymer, "Face recognition under varying pose," Tech. Rep. A. I. Memo, Artif. Intell. Lab., Mass. Inst. Technol., Cambridge, No. 1461, 1993.
23. D. Beymer and T. Poggio, "Face recognition from one example view," in Proc. 5th Int. Conf. Computer Vision, 1995, pp. 500-507.
24. T. Vetter and T. Poggio, "Linear object classes and image synthesis from a single example image," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 733-742, Jul. 1997.
25. T. Vetter, "Synthesis of novel views from a single face image," Int. J. Comput. Vis., vol. 28, no. 2, pp. 103-116, 1998.
26. X. Chai, S. Shan, X. Chen, and W. Gao, "Local linear regression (LLR) for pose invariant face recognition," in Proc. 7th Int. Conf. Auto. Face and Gesture Recognition, Southampton, U.K., Apr. 2006, pp. 631-636.
27. J. M. Lattine, J. D. Carroll, and P. E. Green, Analyzing Multivariate Data. New York: Thomson.
28. T. Sim, S. Baker, and M. Bsat, "The CMU pose, illumination, and expression (PIE) database," in Proc. 5th Int. Conf. Auto. Face and Gesture Recognition, Washington, DC, 2002, pp. 46-51.
29. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
30. P. Phillipse, H. Moon, S. Rizvi, and P. Rauss, "The FERET evaluation methodology for face recognition algorithms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 10, pp. 1090-1103, Oct. 2000.