FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS

Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark, Wei Quan

Abstract

This paper presents a new method for facial expression modelling and recognition based on diffeomorphic image registration parameterised via stationary velocity fields in Log-Euclidean framework. The validation and comparison are done using different statistical shape models (SSM) built using the Point Distribution Model (PDM), velocity fields, and deformation fields. The obtained results show that the facial expression representation based on stationary velocity field can be successfully utilised in facial expression recognition, and this parameterisation produces higher recognition rate than the facial expression representation based on deformation fields.

References

  1. Arsigny, V., Commowick, O., Pennec, X., and Ayache, N. (2006). A log-euclidean framework for statistics on diffeomorphisms. Medical Image Computing and Computer Assisted Intervention, 9(Pt 1):924-931.
  2. Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1):95-113.
  3. Bartlett, M. S., Littlewort, G., Fasel, I., and Movellan, J. R. (2003). Real time face detection and facial expression recognition: Development and applications to human computer interaction. In In CVPR Workshop on CVPR for HCI.
  4. Bishop, C. M. (2006). Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, USA.
  5. Bossa, M., Hernandez, M., and Olmos, S. (2007). Contributions to 3d diffeomorphic atlas estimation: application to brain images. Med Image Comput Comput Assist Interv, 10(Pt 1):667-674.
  6. Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J. (1995). Active shape models - their training and application. Computer Vision. Image Understanding, 61:38-59.
  7. Fasel, B. and Luettin, J. (2003). Automatic facial expression analysis: A survey. PATTERN RECOGNITION, 36(1):259-275.
  8. Geng, X., Christensen, G. E., Gu, H., Ross, T. J., and Yang, Y. (2009). Implicit reference-based group-wise image registration and its application to structural and functional mri. Neuroimage, 47(4):1341-1351.
  9. Han, X., Hibbard, L. S., and Willcut, V. (2010). An efficient inverse-consistent diffeomorphic image registration method for prostate adaptive radiotherapy. In Proceedings of the 2010 international conference on Prostate cancer imaging: computer-aided diagnosis, prognosis, and intervention, MICCAI'10, pages 34- 41, Berlin, Heidelberg. Springer-Verlag.
  10. Hsieh, C.-K., Lai, S.-H., and Chen, Y.-C. (2010). An optical flow-based approach to robust face recognition under expression variations. IEEE Transactions on Image Processing, 19(1):233-240.
  11. Kobayashi, H. and Hara, F. (1997). Facial interaction between animated 3d face robot and human beings. In Proc. IEEE Int Systems, Man, and Cybernetics Computational Cybernetics and Simulation. Conf, volume 4, pages 3732-3737.
  12. Matuszewski, B. J., Quan, W., and Shark, L.-K. (2011). Biometrics - Unique and Diverse Applications in Nature, Science, and Technology, chapter Facial Expression Recognition. InTech.
  13. Pantic, M., Member, S., and Rothkrantz, L. J. M. (2000). Automatic analysis of facial expressions: The state of the art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:1424-1445.
  14. Papiez, B. W. and Matuszewski, B. J. (2011). Direct inverse deformation field approach to pelvic-area symmetric image registration. In Proceedings Medical Image Understanding and Analysis (MIUA'2011).
  15. Quan, W., Matuszewski, B. J., and Shark, L.-K. (2010). Improved 3-d facial representation through statistical shape model. In 17th IEEE International Conference on Image Processing (ICIP 2010), pages 2433-2436.
  16. Quan, W., Matuszewski, B. J., Shark, L.-K., and AitBoudaoud, D. (2007a). 3-d facial expression representation using b-spline statistical shape model. In Proceedings of the Vision, Video and Graphics Workshop.
  17. Quan, W., Matuszewski, B. J., Shark, L.-K., and AitBoudaoud, D. (2007b). Low dimensional surface parameterisation with applications in biometrics. In Proceedings of the International Conference on Medical Information Visualisation - BioMedical Visualisation, pages 15-22, Washington, DC, USA. IEEE Computer Society.
  18. Quan, W., Matuszewski, B. J., Shark, L.-K., and AitBoudaoud, D. (2009). Facial expression biometrics using statistical shape models. EURASIP Journal on Advances in Signal Processing, 2009:15:4-15:4.
  19. Shan, C., Gong, S., and McOwan, P. W. (2005). Robust facial expression recognition using local binary patterns. In ICIP (2), pages 370-373.
  20. Tian, Y.-L., Kanade, T., and Cohn, J. F. (2011). Handbook of Face Recognition, chapter Facial Expression Analysis. Springer.
  21. Vercauteren, T., Pennec, X., Perchant, A., and Ayache, N. (2008). Symmetric log-domain diffeomorphic registration: a demons-based approach. Medical Image Computing and Computer Assisted Intervention, 11(Pt 1):754-761.
  22. Vercauteren, T., Pennec, X., Perchant, A., and Ayache, N. (2009). Diffeomorphic demons: Efficient nonparametric image registration. NeuroImage, 45(1, Supp.1):S61-S72.
  23. Wang, J. and Yin, L. (2007). Static topographic modeling for facial expression recognition and analysis. Computer Vision and Image Understanding, 108(1-2):19- 34.
  24. Yin, L., Wei, X., Sun, Y., Wang, J., and Rosato, M. J. (2006). A 3d facial expression database for facial behavior research. In Proc. 7th Int. Conf. Automatic Face and Gesture Recognition FGR 2006, pages 211- 216.
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Paper Citation


in Harvard Style

W. Papiez B., J. Matuszewski B., Shark L. and Quan W. (2012). FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: SADM, (ICPRAM 2012) ISBN 978-989-8425-98-0, pages 351-359. DOI: 10.5220/0003867503510359


in Bibtex Style

@conference{sadm12,
author={Bartlomiej W. Papiez and Bogdan J. Matuszewski and Lik-Kwan Shark and Wei Quan},
title={FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: SADM, (ICPRAM 2012)},
year={2012},
pages={351-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003867503510359},
isbn={978-989-8425-98-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: SADM, (ICPRAM 2012)
TI - FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS
SN - 978-989-8425-98-0
AU - W. Papiez B.
AU - J. Matuszewski B.
AU - Shark L.
AU - Quan W.
PY - 2012
SP - 351
EP - 359
DO - 10.5220/0003867503510359