Bayesian face recognition based on markov random field modeling

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

Volumn 5558 LNCS, Issue , 2009, Pages 42-51

  Wang, Rui ^a   Lei, Zhen ^a   Ao, Meng ^a   Li, Stan Z ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

Face recognition; Learning; Markov random field

Indexed keywords

BAYESIAN FACE RECOGNITION; BAYESIAN METHODS; CONTEXTUAL CONSTRAINTS; DISCRIMINATE ANALYSIS; GABOR FEATURE; GABOR WAVELETS; HIGHER ORDER; IMAGE FEATURES; LEARNING; LOCAL SEARCH; MARKOV RANDOM FIELD; MARKOV RANDOM FIELDS; PIXEL LOCATION; POSTERIOR PROBABILITY; STATISTICAL MODELS;

BAYESIAN NETWORKS; BIOMETRICS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; PROBABILITY DENSITY FUNCTION; STRUCTURAL FRAMES;

FACE RECOGNITION;

EID: 69949138636     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01793-3_5     Document Type: Conference Paper

References (16)

1. Hammersley, J.M., Clifford, P.: Markov field on finite graphs and lattices (unpublished, 1971)
2. Besag, J.: Spatial interaction and the statistical analysis of lattice systems (with discussions). Journal of the Royal Statistical Society, Series B 36, 192-236 (1974)
3. Chellappa, R., Kashyap, R.L.: Digital image restoration using spatial interaction models. IEEE Transactions on Acoustic, Speech and Signal Processing 30, 461-1172 (1982)
4. Cross, G.C., Jain, A.K.: Markov random field texture models. IEEE Transactions on Pattern Analysis and Machine Intelligence 5(1), 25-39 (1983)
5. Derin, H., Elliott, H., Cristi, R., Geman, D.: Bayes smoothing algorithms for segmentation of binary images modeled by Markov random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 6(6), 707-720 (1984) (Pubitemid 15453723)
6. Geman, S., Geman, D.: Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence 6(6), 721-741 (1984)
7. Modestino, J.W., Zhang, J.: A Markov random field model-based approach to image interpretation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 458-465 (1989)
8. Qian, R.J., Huang, T.S.: Objec detection using hierarchical MRF and map estimation. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, December 1997, p. 186 (1997)
9. Dass, S.C., Jain, A.K.: Markov face models. In: Proceedings of IEEE International Conference on Computer Vision, Vancouver, July 9-12, pp. 112-116 (2001)
10. Dass, S.C., Jain, A.K., Lu, X.: Face detection and synthesis using Markov random field models. In: Proceedings of International Conference on Pattern Recognition, Quebec City, August 2002, pp. 112-116 (2002)
11. Huang, R., Pavlovic, V., Metaxas, D.: A hybrid face recognition method using markov random fields. In: Proceedings of International Conference on Pattern Recognition, Cambridge, UK (August 2004)
12. Park, B.G., Kyoung-Mu, Lee, S.U.: Face recognition using face-arg matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(12), 1982-1988 (2005)
13. Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 711-720 (1997)
14. Ye, J., Xiong, T., Li, Q., Janardan, R., Bi, J., Cherkassky, V., Kambhamettu, C.: Efficient model selection for regularized linear discriminant analysis. In: CIKM, pp. 532-539 (2006)
15. Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: The FERET evaluation methodology for face-recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1090-1104 (2000)
16. Phillips, P.J., Flynn, P.J., Scruggs, W.T., Bowyer, K.W., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.J.: Overview of the face recognition grand challenge. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 947-954 (2005)