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Facial Expression Analysis under Various Head Poses

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Advances in Multimedia Information Processing — PCM 2002 (PCM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2532))

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Abstract

In this paper, a facial expression analysis method that can allow users to feel free to rotate their heads is proposed; we track facial feature points in synthetic frontal face images called stabilized view, and then translate tracking result into MPEG-4 facial animation parameters for facial expression synthesis. Besides, a pose re.nement algorithm is proposed by using error classi.cation method. It can refine the pose error rapidly after pose estimation.

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References

  1. Fasel, B., and Luttin, J.: Facial Expression Analysis and Recognition: A Survey. IDIAP Research Report, IDIAP-RR 99-19, (1999)

    Google Scholar 

  2. Yacoob, Y., and Davis, L. S.: Recognizing Human Facial Expressions From Long Image Sequences Using Optical Flow. IEEE Trans. Pattern Analysis Machine Intelligence, Vol.18, No.6, (1996) 636–642

    Article  Google Scholar 

  3. Tian, Y. L., Kanade, T., and Cohn, J. F.: Recognizing Action Units for Facial Expression Analysis. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, (2001) 97–115

    Article  Google Scholar 

  4. Donato, G., Bartlett, M. S., Hager, J. C., Ekman, P., and Sejnowski, T. J.: Classifying Facial Actions. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 21, No. 10, (1999) 974–989

    Article  Google Scholar 

  5. MPEG-4 Video Group: Generic Coding of Audio-Visual Objects: Part 2-Visual. ISO/IEC JTC1/SC29/WG11 N2502, FDIS of ISO/IEC 14496-2, (1998).

    Google Scholar 

  6. Goto, T., Kshirsagar, S., and Thalmann, N. M.: Automatic Face Cloning and Animation. IEEE Signal Processing Magazine, (2001) 17–25

    Google Scholar 

  7. Yuille, A., Hallinan, P., and Cohen, D.: Feature Extraction from Faces Using Deformable Templates. International Journal of Computer Vision, Vol. 8, No. 2, (1992) 99–111

    Article  Google Scholar 

  8. Valente, S., Andres Del Valle, A. C., and Dugelay, J. L.: Analysis and Reproduction of Facial Expressions for Realistic Communicating Clones. Journal of VLSI Signal Processing, Vol. 29, No. 1/2, (2001) 41–49

    Article  Google Scholar 

  9. Schödl, A., Haro, A., Essa, I.: Head Tracking Using a Textured Polygonal Model. Workshop on Perceptual User Interfaces. (1998)

    Google Scholar 

  10. Chang, Y. J., and Chen, Y. C.: Robust Head Pose Estimation Using Textured Polygonal Model with Local Correlation Measure. In: Shum H. Y., Liao, M., and Chang, S. F. (eds.): Advances in Multimedia Information Processing. Lecture Notes in Computer Science, No. 2195, Springer-Verlag, Berlin Heidelberg New York (2001) 245–252

    Google Scholar 

  11. Chou, J. C., Chang, Y. J., and Chen, Y. C.: Facial Feature Point Tracking and Expression Analysis for Virtual Conferencing Systems. Proc. 2001 IEEE Int. Conf. Multimedia and Expo, (2001) 415–418

    Google Scholar 

  12. Belhumeur, P. N., Hespanha, J. P., and Kiregman, D. J.: Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19, No.7, (1997) 721–732

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Tsing Hua University, 30013, Hsinchu, Taiwan

    Chien-Chia Chien, Yao-Jen Chang & Yung-Chang Chen

Authors
  1. Chien-Chia Chien
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  2. Yao-Jen Chang
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  3. Yung-Chang Chen
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

    Yung-Chang Chen

  2. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

    Long-Wen Chang  & Chiou-Ting Hsu  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Chien, CC., Chang, YJ., Chen, YC. (2002). Facial Expression Analysis under Various Head Poses. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_148

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  • DOI: https://doi.org/10.1007/3-540-36228-2_148

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00262-8

  • Online ISBN: 978-3-540-36228-9

  • eBook Packages: Springer Book Archive

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