Multi-frame image restoration for face recognition

Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics

Volumn , Issue , 2007, Pages

  Wheeler, Frederick W ^a   Liu, Xiaoming ^a   Tu, Peter H ^a   Hoctor, Ralph T ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; IMAGE RESOLUTION; LAWS AND LEGISLATION; RESTORATION; SIGNAL PROCESSING;

ACTIVE APPEARANCE MODELS; FACE RECOGNITION AND AUTHENTICATIONS; FACE SHAPES; MULTI-FRAME; PTZ CAMERA; RECOGNITION ENGINES; VIDEO FRAME; WIENER FILTERS;

FACE RECOGNITION;

EID: 84969257790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. D. M. Blackburn, J. M. Bone, and P. J. Phillips, FRVT 2000 Evaluation Report, February 2001.
2. Subhasis Chaudhuri, Ed., Super-Resolution Imaging, Kluwer Academic Publishers, 3rd edition, 2001.
3. K. J. Ray Liu, Moon Gi Kang, and Subhasis Chaudhuri, Eds., IEEE Signal Processing Magazine, Special edition: Super-Resolution Image Reconstruction, vol. 20, no. 3, IEEE, May 2003.
4. Sean Borman and Robert Stevenson, "Super resolution enhancement of low-resolution image sequences; a comprehensive review with directions for future research", Research report, University of Notre Dame, July 1998.
5. Simon Baker and Takeo Kanade, "Limits on superresolution and how to break them", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1167-1183, September 2002.
6. T. Cootes, D. Cooper, C. Tylor, and J. Graham, "A trainable method of parametric shape description", in Proc. 2nd British Machine Vision Conference. September 1991, pp. 54-61, Springer.
7. S. Baker and I. Matthews, "Lucas-Kanade 20 years on: A unifying framework", International Journal of Computer Vision, vol. 56, no. 3, pp. 221-255, March 2004.
8. Anil K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.
9. Rafael C. Gonzalez and Paul Wintz, Digital Image Processing, Addison-Wesley Publishing Co., 2nd edition, 1987.
10. H. Schneiderman, "Learning a restricted bayesian network for object detection", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2004.
11. Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2000.
12. Simon Baker and Takeo Kanade, "Super resolution optical flow", Tech. Rep. CMU-RI-TR-99-36, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, October 1999.
13. K. Chang, K. W. Bowyer, and P. J. Flynn, "Face recognition using 2D and 3D facial data", in ACM Workshop on Multimodal User Authentication, December 2003, pp. 25-32.
14. P. J. Flynn, K. W. Bowyer, and P. J. Phillips, "Assessment of time dependency in face recognition: An initial study", in Audio and Video-Based Biometric Person Authentication, 2003, pp. 44-51.
15. Xiaoming Liu, Peter Tu, and Frederick Wheeler, "Face model fitting on low resolution images", in submitted to British Machine Vision Conference, 2006.
16. P. J. Phillips, H. Moon, P. J. Rauss, and S. Rizvi, "The FERET evaluation methodology for face recognition algorithms", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 10, October 2000.