Human face modeling and recognition through multi-view high resolution stereopsis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2006, Issue , 2006, Pages

  Chen, Xin ^a   Faltemier, Timothy ^a   Flynn, Patrick ^a   Bowyer, Kevin ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINOCULAR STEREOPSIS; DATA SETS; ITERATIVE CLOSEST POINT (ICP);

ALGORITHMS; DATABASE SYSTEMS; IMAGE ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; SCANNING;

FACE RECOGNITION;

EID: 33845540064     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2006.95     Document Type: Conference Paper

References (13)

1. http://www.3q.com.1
2. http://www.vision.caltech.edu/bouguetj/.2
3. S. Barnard and M. Fischler. Computational stereo. Surveys, 14(4):553-572, 1982. 2
4. K. Chang, K. Bowyer, and P. Flynn. An evaluation of multimodal 2d+3d face biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(4):619-624, 2005. 1
5. Q. Chen and G. Medioni. Building 3-d human face models from two photographs. Journal of VLSI Signal. Processing Systems, Special issue on multimedia signal processing, pages 127-140, 2001. 1
6. U. Dhond and J. Aggarwal. Structure from stereo - a review. IEEE T. Systems, Man and Cybernetics, 19(6): 1489-1510, 1989. 2
7. G. Egnal, M. Mintz, and R. Wildes. A stereo confidence metric using single view imagery. Vision Interface, page 162, 2002. 3
8. O. Faugeras. Three-dimensional computer vision: A geometric viewpoint. The MIT Press, 1993. 3
9. H. Horace, S. Ip, and L. Yin. Constructing a 3d individualized head model from two orthogonal views. Visual Computer, 12:254-266, 1996. 1
10. G. Medioni and R. Waupotitsch. Face modeling and recognition in 3-d. IEEE International Workshop on Analysis and Modeling of Faces and Gestures, pages 232-233, October 2003. 1
11. J. Min, P. Flynn, and K. Bowyer. Using multiple gallery and probe images per person to improve performance of face recognition. In Tech. Rep. TR-03-7, University of Notre Dome, 2003. 2
12. P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, K. Chang, K. Hoffman, J. Marques, and J. Min. Overview of the face recognition grand challenge. IEEE Workshop on face recognition Grand Challenge Experiments, 2005. 2
13. Z. Zhang, R. Deriche, O. D. Faugeras, and Q.-T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artifi cial Intelligence, 78(1-2):87-119, 1995. 1