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Session variability modelling for face authentication

Session variability modelling for face authentication

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This study examines session variability modelling for face authentication using Gaussian mixture models. Session variability modelling aims to explicitly model and suppress detrimental within-class (inter-session) variation. The authors examine two techniques to do this, inter-session variability modelling (ISV) and joint factor analysis (JFA), which were initially developed for speaker authentication. We present a self-contained description of these two techniques and demonstrate that they can be successfully applied to face authentication. In particular, they show that using ISV leads to significant error rate reductions of, on average, 26% on the challenging and publicly available databases SCface, BANCA, MOBIO and multi-PIE. Finally, the authors show that a limitation of both ISV and JFA for face authentication is that the session variability model captures and suppresses a significant portion of between-class variation.

References

    1. 1)
      • E. Rúa , J. Castro , C. Mateo .
        1. Rúa, E., Castro, J., Mateo, C.: ‘Quality-based score normalization for audiovisual person authentication’. Image Analysis and Recognition, ser. (LNCS, 5112), 2008, pp. 10031012 (doi: 10.1007/978-3-540-69812-8_100).
        . Image Analysis and Recognition , 1003 - 1012
    2. 2)
      • T. Ahonen , M. Pietikäinen .
        2. Ahonen, T., Pietikäinen, M.: ‘Pixelwise local binary pattern models of faces using Kernel density estimation’. Advances in Biometrics, ser. (LNCS5558), 2009, pp. 5261 (doi: 10.1007/978-3-642-01793-3_6).
        . Advances in Biometrics , 52 - 61
    3. 3)
      • C. McCool , S. Marcel , C. Hadid .
        3. McCool, C., Marcel, S., Hadid, C., et al: ‘Bi-modal person recognition on a mobile phone: using mobile phone data’. IEEE International Conf. on Multimedia and Expo Workshop on Hot Topics in Mobile Multimedia, 2012.
        . IEEE International Conf. on Multimedia and Expo Workshop on Hot Topics in Mobile Multimedia
    4. 4)
      • R. Gross , I. Matthews , J. Cohn , T. Kanade , S. Baker .
        4. Gross, R., Matthews, I., Cohn, J., Kanade, T., Baker, S.: ‘Multi-PIE’, Image Vis. Comput., 2010, 28, pp. 807813 (doi: 10.1016/j.imavis.2009.08.002).
        . Image Vis. Comput. , 807 - 813
    5. 5)
      • R. Vogt , S. Sridharan .
        5. Vogt, R., Sridharan, S.: ‘Explicit modelling of session variability for speaker verification’, Comput. Speech Language, 2008, 22, (1), pp. 1738 (doi: 10.1016/j.csl.2007.05.003).
        . Comput. Speech Language , 1 , 17 - 38
    6. 6)
      • P. Kenny , G. Boulianne , P. Ouellet , P. Dumouchel .
        6. Kenny, P., Boulianne, G., Ouellet, P., Dumouchel, P.: ‘Joint factor analysis versus eigenchannels in speaker recognition’, IEEE Trans. Audio Speech Language Process., 2007, 15, (4), pp. 14351447 (doi: 10.1109/TASL.2006.881693).
        . IEEE Trans. Audio Speech Language Process. , 4 , 1435 - 1447
    7. 7)
      • D.A. Reynolds , T.F. Quatieri , R.B. Dunn .
        7. Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: ‘Speaker verification using adapted Gaussian mixture models’, Digital Signal Process., 2000, 10, (1–3), pp. 1941 (doi: 10.1006/dspr.1999.0361).
        . Digital Signal Process. , 19 - 41
    8. 8)
      • J. Yang , A. Frangi , J. Yang , D. Zhang , Z. Jin .
        8. Yang, J., Frangi, A., Yang, J., Zhang, D., Jin, Z.: ‘KPCA plus LDA: a complete kernel fisher discriminant framework for feature extraction and recognition’, IEEE Trans. Pattern Anal. Mach. Intell., 2005, 27, (2), pp. 230244 (doi: 10.1109/TPAMI.2005.33).
        . IEEE Trans. Pattern Anal. Mach. Intell. , 2 , 230 - 244
    9. 9)
      • P. Phillips , J. Beveridge , B. Draper .
        9. Phillips, P., Beveridge, J., Draper, B., et al: ‘An introduction to the good, the bad, & the ugly face recognition challenge problem’. Proc. IEEE Int. Conf. Face Gesture, 2011, pp. 346353.
        . Proc. IEEE Int. Conf. Face Gesture , 346 - 353
    10. 10)
      • M. Günther , R. Wallace , S. Marcel .
        10. Günther, M., Wallace, R., Marcel, S.: ‘An open source framework for standardized comparisons of face recognition algorithms’. Proc. Second IEEE Int. Workshop on Benchmarking Facial Image Analysis Technologies, in conjunction with ECCV 2012, 2012, pp. 547556.
        . Proc. Second IEEE Int. Workshop on Benchmarking Facial Image Analysis Technologies , 547 - 556
    11. 11)
      • C. Sanderson , K. Paliwal .
        11. Sanderson, C., Paliwal, K.: ‘Fast features for face authentication under illumination direction changes’, Pattern Recogn. Lett., 2003, 24, pp. 24092419 (doi: 10.1016/S0167-8655(03)00070-9).
        . Pattern Recogn. Lett. , 2409 - 2419
    12. 12)
      • S. Lucey , T. Chen .
        12. Lucey, S., Chen, T.: ‘A GMM parts based face representation for improved verification through relevance adaptation’. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 2004, vol. 2, pp. 855861.
        . IEEE Computer Society Conf. Computer Vision and Pattern Recognition , 855 - 861
    13. 13)
      • F. Cardinaux , C. Sanderson , S. Bengio .
        13. Cardinaux, F., Sanderson, C., Bengio, S.: ‘User authentication via adapted statistical models of face images’, IEEE Trans. Signal Process., 2006, 54, (1), pp. 361373 (doi: 10.1109/TSP.2005.861075).
        . IEEE Trans. Signal Process. , 1 , 361 - 373
    14. 14)
      • C. McCool , S. Marcel .
        14. McCool, C., Marcel, S.: ‘Parts-based face verification using local frequency bands’. Proc. Third Int. Conf. Advances in Biometrics, 2009.
        . Proc. Third Int. Conf. Advances in Biometrics
    15. 15)
      • C. Sanderson , B.C. Lovell .
        15. Sanderson, C., Lovell, B.C.: ‘Multi-region probabilistic histograms for robust and scalable identity inference’. Proc. Third Int. Conf. Advances in Biometrics, 2009.
        . Proc. Third Int. Conf. Advances in Biometrics
    16. 16)
      • R. Wallace , M. McLaren , C. McCool , S. Marcel .
        16. Wallace, R., McLaren, M., McCool, C., Marcel, S.: ‘Inter-session variability modelling and joint factor analysis for face authentication’. Proc. Int. Joint Conf. Biometrics, 2011, pp. 18.
        . Proc. Int. Joint Conf. Biometrics , 1 - 8
    17. 17)
      • F. Cardinaux , C. Sanderson , S. Marcel .
        17. Cardinaux, F., Sanderson, C., Marcel, S.: ‘Comparison of MLP and GMM classifiers for face verification on XM2VTS’. Audio- and Video-Based Biometric Person Authentication, ser. (LNCS2688), 2003, pp. 10581059.
        . Audio- and Video-Based Biometric Person Authentication , 1058 - 1059
    18. 18)
      • X. Tan , B. Triggs .
        18. Tan, X., Triggs, B.: ‘Enhanced local texture feature sets for face recognition under difficult lighting conditions’, IEEE Trans. Image Process., 2010, 19, (6), pp. 16351650 (doi: 10.1109/TIP.2010.2042645).
        . IEEE Trans. Image Process. , 6 , 1635 - 1650
    19. 19)
      • O. Glembek , L. Burget , N. Dehak , N. Brummer , P. Kenny .
        19. Glembek, O., Burget, L., Dehak, N., Brummer, N., Kenny, P.: ‘Comparison of scoring methods used in speaker recognition with joint factor analysis’. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, April 2009, pp. 40574060.
        . Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing , 4057 - 4060
    20. 20)
      • O. Thyes , R. Kuhn , P. Nguyen , J. Junqua .
        20. Thyes, O., Kuhn, R., Nguyen, P., Junqua, J.: ‘Speaker identification and verification using eigenvoices’. Proc. Int. Conf. Spoken Language Processing, 2000, vol. 2, pp. 242245.
        . Proc. Int. Conf. Spoken Language Processing , 242 - 245
    21. 21)
      • P. Kenny , P. Ouellet , N. Dehak , V. Gupta , P. Dumouchel .
        21. Kenny, P., Ouellet, P., Dehak, N., Gupta, V., Dumouchel, P.: ‘A study of inter-speaker variability in speaker verification’, IEEE Trans. Audio Speech Language Process., 2008, 16, pp. 980988 (doi: 10.1109/TASL.2008.925147).
        . IEEE Trans. Audio Speech Language Process. , 980 - 988
    22. 22)
      • L. Burget , M. Fapšo , V. Hubeika .
        22. Burget, L., Fapšo, M., Hubeika, V., et al: ‘BUT system description: NIST SRE 2008’. Proc. 2008 NIST Speaker Recognition Evaluation Workshop, 2008, pp. 14.
        . Proc. 2008 NIST Speaker Recognition Evaluation Workshop , 1 - 4
    23. 23)
      • P. Phillips , P. Flynn , T. Scruggs .
        23. Phillips, P., Flynn, P., Scruggs, T., et al: ‘Overview of the face recognition grand challenge’. Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 2005, vol. 1, pp. 947954.
        . Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition , 947 - 954
    24. 24)
      • G.B. Huang , M. Ramesh , T. Berg , E. Learned-Miller . (2007)
        24. 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, 2007.
        .
    25. 25)
      • E. Bailly-Baillière , S. Bengio , F. Bimbot .
        25. Bailly-Baillière, E., Bengio, S., Bimbot, F., et al.: ‘The BANCA database and evaluation protocol’. Audio- and Video-Based Biometric Person Authentication, ser. (LNCS2688), 2003, pp. 10571071.
        . Audio- and Video-Based Biometric Person Authentication , 1057 - 1071
    26. 26)
      • Y. Rodriguez . (2006)
        26. Rodriguez, Y.: ‘Face detection and verification using local binary patterns’. PhD dissertation, Idiap Research Institute and École Polytechnique Fédérale de Lausanne, 2006.
        .
    27. 27)
      • M. Grgic , K. Delac , S. Grgic .
        27. Grgic, M., Delac, K., Grgic, S.: ‘SCface-surveillance cameras face database’, Multimedia Tools Appl., 2011, 51, pp. 863879 (doi: 10.1007/s11042-009-0417-2).
        . Multimedia Tools Appl. , 863 - 879
    28. 28)
      • A. Anjos , L. El Shafey , R. Wallace , M. Günther , C. McCool , S. Marcel .
        28. Anjos, A., El Shafey, L., Wallace, R., Günther, M., McCool, C., Marcel, S.: ‘Bob: a free signal processing and machine learning toolbox for researchers’. Proc. ACM Multimedia Conf., 2012.
        . Proc. ACM Multimedia Conf.
    29. 29)
      • R. Wallace , M. McLaren , C. McCool , S. Marcel .
        29. Wallace, R., McLaren, M., McCool, C., Marcel, S.: ‘Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models’, IEEE Trans. Inf. Forens. Security, 2012, 7, pp. 553562 (doi: 10.1109/TIFS.2012.2184095).
        . IEEE Trans. Inf. Forens. Security , 553 - 562
    30. 30)
      • N. Dehak , P. Kenny , R. Dehak , P. Dumouchel , P. Ouellet .
        30. Dehak, N., Kenny, P., Dehak, R., Dumouchel, P., Ouellet, P.: ‘Front-end factor analysis for speaker verification’, IEEE Trans. Audio Speech Language Process., 2011, 19, pp. 788798 (doi: 10.1109/TASL.2010.2064307).
        . IEEE Trans. Audio Speech Language Process. , 788 - 798
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