Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS

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

Volumn 2688, Issue , 2003, Pages 911-920

  Cardinaux, Fabien ^a   Sanderson, Conrad ^a   Marcel, Sébastien ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; FACE RECOGNITION;

COMPUTATIONAL REQUIREMENTS; FACE VERIFICATION; FACE VERIFICATION SYSTEMS; GAUSSIAN MIXTURE MODEL (GMMS); LOSS OF PERFORMANCE; MAXIMUM A POSTERIORI; MULTI-LAYER PERCEPTRONS (MLPS); STRUCTURAL DIFFERENCES;

MAXIMUM LIKELIHOOD;

EID: 35248898353     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44887-x_106     Document Type: Article

References (16)

1. Collobert, R., Bengio, S., and Mariéthoz, J.: Torch: a modular machine learning software library. IDIAP Research Report 02-46 (2002), Martigny, Switzerland. (see also www.torch.ch)
2. Dempster, A.P., Laird, N.M., and Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statistical Soc., Ser. B 39 (1977) 1-38.
3. Duda, R. O., Hart, P. E., and Stork, D. G.: Pattern Classification. John Wiley & Sons, USA, 2001.
4. Eickeler, S., Müller, S., Rigoll, G.: Recognition of JPEG Compressed Face Images Based on Statistical Methods. Image and Vision Computing 18 (2000) 279-287.
5. Féraud, R., Bernier, O., Viallet, J.-E., and Collobert, M.: A Fast and Accurate Face Detector Based on Neural Networks. Trans. Pattern Analysis and Machine Intell. 23 (2001) 42-53.
6. Gauvain, J-L., and Lee, C-H.: Maximum a Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains. IEEE Trans. Speech and Audio Processing 2 (1994) 291-298.
7. Gonzales, R. C., and Woods, R. E.: Digital Image Processing. Addison-Wesley, Reading, Massachusetts, 1993.
8. Kittler, J., Matas, G., Jonsson, K., and Sanchez, M. U. R.: Combining Evidence in Personal Identity Verification Systems. Pattern Recognition Letters 18 (1997) 845-852.
9. Lüttin, J., and Maître, G.: Evaluation Protocol for the Extended M2VTS Database (XM2VTSDB). IDIAP Communication 98-05 (1998), Martigny, Switzerland.
10. Martin, A., Doddington, G., Kamm, T., Ordowski, M., and Przybocki, M.: The DET Curve in Assessment of Detection Task Performance. Proc. Eurospeech'97, 1997, pp. 1895-1898.
11. Reynolds, D., Quatieri, T., and Dunn, R.: Speaker Verification Using Adapted Gaussian Mixture Models. Digital Signal Processing 10 (2000) 19-41.
12. Rowley, H. A., Baluja, S., and Kanade, T.: Neural Network-Based Face Detection. Trans. Pattern Analysis and Machine Intelligence 20 (1998) 23-38.
13. Sanderson, C.: Automatic Person Verification Using Speech and Face Information. PhD Thesis, Griffith University, Brisbane, Australia, 2002.
14. Sanderson, C. and Paliwal, K. K.: Polynomial Features for Robust Face Authentication. Proc. International Conf. on Image Processing, Rochester, New York, 2002, pp. 997-1000 (Vol. 3).
15. Schalkoff, R. J.: Pattern recognition: statistical, structural and neural approaches. John Wiley & Sons, USA, 1992.
16. Verlinde, P., Chollet, G., and Acheroy, M.: Multi-modal identity verification using expert fusion. Information Fusion 1 (2000) 17-33.