IR and visible light face recognition

Computer Vision and Image Understanding

Volumn 99, Issue 3, 2005, Pages 332-358

  Chen, Xin ^a   Flynn, Patrick J ^a   Bowyer, Kevin W ^a  

^a University of Notre Dame   (United States)

Author keywords

Biometrics; Face recognition; Infrared imaging; Multi modal; Principal components analysis

Indexed keywords

CAMERAS; DATA ACQUISITION; INFRARED IMAGING; INFRARED RADIATION; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

BIOMETRICS; ILLUMINATION VARIATION; MULTI-MODAL; THERMAL EMISSIVITY;

FACE RECOGNITION;

EID: 23844479959     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cviu.2005.03.001     Document Type: Article

References (28)

1. A. Srivastava, and X. Liu Statistical hypothesis pruning for identifying faces from infrared images Image Vision Comput. 21 2003 651 661
2. F.J. Prokoski, History, current status, and future of infrared identification, in: Proc. IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, 2000, pp. 5-14.
3. A. Jain, R. Bolle, and S. Pankanti Biometrics: Personal identification in networked society 1999 Kluwer Academic Publishers Dordrecht
4. J. Wilder, P.J. Phillips, C. Jiang, S. Wiener, Comparison of visible and infrared imagery for face recognition, in: 2nd Internat. Conf. on Automatic Face and Gesture Recognition, Killington, VT, 1996, pp. 182-187.
5. D.A. Socolinsky, A. Selinger, A comparative analysis of face recognition performance with visible and thermal infrared imagery, in: Internat. Conf. on Pattern Recognition, 2002, vol. IV, pp. 217-222.
6. A. Selinger, D.A. Socolinsky, Appearance-based facial recognition using visible and thermal imagery: a comparative study, Technical Report, Equinox Corporation, 2001.
7. D. Socolinsky, L. Wolff, J. Neuheisel, and C. Eveland Illumination invariant face recognition using thermal infrared imagery Comput. Vision Pattern Recogn. 1 2001 527 534
8. P.J. Flynn, K.W. Bowyer, P.J. Phillips, Assessment of time dependency in face recognition: an initial study, in: Internat. Conf. on Audio- and Video-based Biometric Person Authentication, 2003, pp. 44-51.
9. X. Chen, P. Flynn, K. Bowyer, Visible-light and infrared face recognition, in: Proc. Workshop on Multimodal User Authentication, 2003, pp. 48-55.
10. X. Chen, P. Flynn, K. Bowyer, Pca-based face recognition in infrared imagery: baseline and comparative studies, in: IEEE Internat. Workshop on Analysis and Modeling of Faces and Gestures, 2003, pp. 127-134.
11. P. Phillips, P. Grother, R. Micheals, D. Blackburn, E. Tabassi, J. Bone, Frvt 2002: overview and summary, March 2003.
12. D. Socolinsky, A. Selinger, and J. Neuheisel Face recognition with visible and thermal infrared imagery Comput. Vision Image Understand. 2003 72 114
13. A. Selinger, D. Socolinsky, Face recognition in the dark, in: Conf. on Computer Vision and Pattern Recognition Workshop, vol. 8, 2004, pp. 129-134.
14. P.J. Phillips, H. Moon, S.A. Rizvi, and P.J. Rauss The FERET evaluation methodology for face-recognition algorithms IEEE Trans. Pattern Anal. Mach. Intell. 22 10 2000 1090 1104
15. P. Phillips, A. Martin, C. Wilson, and M. Przybocki An introduction to evaluating biometric systems Computer 2000 56 63
16. M. Kirby, and L. Sirovich Application of the Karhunen-Loeve procedure for the characterization of human faces IEEE Trans. Pattern Anal. Mach. Intell. 12 1 1990 103 108
17. M. Turk, and A. Pentland Face recognition using eigenfaces Comput. Vision Pattern Recogn. 1991
18. P. Belhumeur, J. Hespanha, and D. Kriegman Eigenfaces vs. fisherfaces: recognition using class specific linear projection IEEE Trans. Pattern Anal. Mach. Intell. 19 1997 711 720
19. W.S. Yambor, B.A. Draper, J.R. Beveridge, Analyzing pca-based face recognition algorithms: eigenvector selection and distance measures, in: Empirical Evaluation in Computer Vision, 2000.
20. I. Pavlidis, J. Levine, P. Baukol, Thermal imaging for anxiety detection, in: IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, 2000, pp. 104-109.
21. D.A. Socolinsky, A. Selinger, Thermal face recognition in an operational scenario, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) June 27-July 02, vol. 2, Washington, DC, USA, 2004, pp. 1012-1019.
22. D.A. Socolinsky, A. Selinger, Thermal face recognition over time, Pattern Recognition, 17th International Conference on (ICPR'04), August 23-26, vol. 4, Cambridge, UK, 2004, pp. 187-190.
23. M. Bland An introduction to medical statistics 1995 Oxford University Press Oxford
24. B. Achermann, H. Bunke, Combination of classifiers on the decision level for face recognition, Technical Report IAM-96-002, Insitut fur Informatik und angewandte Mathematik, Universitat Bern, Bern, 1996.
25. J. Kittler, M. Hatef, R. Duin, and J. Matas On combining classifiers IEEE Trans. Pattern Anal. Mach. Intell. 20 3 1992 226 239
26. K. Chang, K. Bowyer, P. Flynn, Multi-modal 2d and 3d biometrics for face recognition, in: IEEE Internat. Workshop on Analysis and Modeling of Faces and Gestures, 2003, pp. 187-194.
27. Available at: < http://www.frvt.org >.
28. P. Grother, Frvt 2002: supplemental report, 2004.