Multi-region probabilistic histograms for robust and scalable identity inference

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5558 LNCS, Issue , 2009, Pages 199-208

  Sanderson, Conrad ^a,b   Lovell, Brian C ^a,b  

^a CSIRO   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION METHODS; COMPLEX METHODS; COMPUTATIONAL BURDEN; DATA SETS; DISTANCE CALCULATION; FACE MATCHING; ILLUMINATION CHANGES; IMAGE VARIATIONS; LOW RESOLUTION IMAGES; MULTIPLE REGIONS; VISUAL WORD;

ALGORITHMS; APPROXIMATION THEORY;

BIOMETRICS;

EID: 69949137336     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01793-3_21     Document Type: Conference Paper

References (16)

1. Rodriguez, Y., Cardinaux, F., Bengio, S., Mariethoz, J.: Measuring the performance of face localization systems. Image and Vision Comput. 24, 882-893 (2006)
2. Blanz, V., Vetter, T.: Face recognition based on fitting a 3D morphable model. IEEE Trans. Pattern Analysis and Machine Intelligence 25(9), 1063-1074 (2003)
3. Sanderson, C., Shan, T., Lovell, B.C.: Towards pose-invariant 2D face classification for surveillance. In: Zhou, S.K., Zhao, W., Tang, X., Gong, S. (eds.) AMFG 2007. LNCS, vol.4778, pp. 276-289. Springer, Heidelberg (2007)
4. Nowak, E., Jurie, F., Triggs, B.: Sampling strategies for bag-of-features image classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.3954, pp. 490-503. Springer, Heidelberg (2006)
5. Huang, G.B., Ramesh, M., Berg, T., Learned-Miller, E.: Labeled Faces in the Wild: A database for studying face recognition in unconstrained environments. University of Massachusetts, Amherst, Technical Report 07-49 (October 2007)
6. Phillips, P., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence 22(10), 1090-1104 (2000)
7. Gonzales, R., Woods, R.: Digital Image Processing, 3rd edn. Prentice-Hall, Englewood Cliffs (2007)
8. Bishop, C.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)
9. Kadir, T., Brady, M.: Saliency, scale and image description. International Journal of Computer Vision 45(2), 83-105 (2001)
10. Sanderson, C.: Biometric Person Recognition - Face, Speech and Fusion. VDM Verlag (2008)
11. Lucey, S., Chen, T.: A GMM parts based face representation for improved verification through relevance adaptation. In: Proc. Computer Vision and Pattern Recognition (CVPR), vol.2, pp. 855-861 (2004)
12. Nefian, A., Hayes, M.: Face recognition using an embedded HMM. In: Proc. Audio Video-based Biometric Person Authentication (AVBPA), pp. 19-24 (1999)
13. Cardinaux, F., Sanderson, C., Bengio, S.: User authentication via adapted statistical models of face images. IEEE Trans. Signal Processing 54(1), 361-373 (2006)
14. Martínez, A.M.: Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. Pattern Analysis and Machine Intelligence 24(6), 748-763 (2002)
15. Nowak, E., Jurie, F.: Learning visual similarity measures for comparing never seen objects. In: Proc. Computer Vision and Pattern Recognition (CVPR), pp. 1-8 (2007)
16. Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Analysis and Machine Intelligence 19(7), 711-720 (1997)