An Efficient Approach for Multi-view Face Animation Based on Quasi 3D Model

  • Yanghua Liu
  • Guangyou Xu
  • Linmi Tao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3852)


Multi-view face animation is widely required in various applications nowadays, but most of existing relative techniques have burdensome computational load in data registration, model construction and animation. Addressing those problems, this paper proposes an efficient approach via employing quasi 3D model, which is the fusion of a 3D geometry model with 2D facial textures. 3D Point Distribute Model (PDM) serves to model geometrical deformation in the shape model. By preserving depth information, the proposed approach is convenient to manipulate pose variation and deal with new-coming subjects. By taking advantages of image-based techniques, data collection is facile and the number of our 3D model vertices is reduced to less than one hundred, while animated faces still keep expressive by incorporating with partial Expression Ratio Image (ERI). The primary experiments demonstrate that our approach efficiently achieved individual animated face among viewpoint range of [-60, 60] based on only 2 input facial images.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ezzat, T., Poggio, T.: Miketalk: a talking facial display based on morphing visemes. In: Proceedings of the Computer Animation Conference (1998)Google Scholar
  2. 2.
    Romdhani, S., Gong, S., Psarrou, A.: A Multi-view Nonlinear Active Shape Model using Kernel PCA. In: British Machine Vision Conference, Nottingham, UK, pp. 483–492 (1999)Google Scholar
  3. 3.
    Cootes, T., Edwards, G., Taylor, C.: Active Appearance Models. In: European Conference on Computer Vision, Freiburg, Germany, vol. 2, pp. 484–498 (1998)Google Scholar
  4. 4.
    Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active Shape Models - Their Training and Application. Computer Vision and Image Understanding 61(1), 38–59 (1995)CrossRefGoogle Scholar
  5. 5.
    Zhang, H., Vezhnevets, V., Choh, H.-K.: Image-based Photorealistic 3D Face Modeling. In: Sixth IEEE International Conference on Automatic face and Gesture Recognition, Seoul, Korea, May 2004, pp. 49–56 (2004)Google Scholar
  6. 6.
    Parke, F.I.: Computer generated animation of faces. In: Proceedings ACM annual conference (August 1972)Google Scholar
  7. 7.
    Liu, Y., Xu, G., Wang, Q.: Realistic Multi-view Face Animation with aid of 3D PDM. In: Sixth IEEE International Conference on Automatic face and Gesture Recognition, Seoul, Korea, May 2004, pp. 511–518 (2004)Google Scholar
  8. 8.
    Ezzat, T., Geiger, G., Poggio, T.: Trainable Videorealistic Speech Animation. In: Proceedings of ACM SIGGRAPH 2002, San Antonio, Texas, July 2004, pp. 388–398 (2002)Google Scholar
  9. 9.
    Terzopoulos, D., Waters, K.: Physically-based facial modeling, analysis, and animation. J. of Visualization and Computer Animation 1, 73–80 (1990)Google Scholar
  10. 10.
    Noh, J.-y., Neumann, U.: Expression Cloning. In: SIGGRAPH 2001, Los Angeles, August 2001, pp. 277–288 (2001)Google Scholar
  11. 11.
    Pighin, F.: Modeling and Animating Realistic Faces from Images, A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (1999)Google Scholar
  12. 12.
    Zhu, W., Chen, Y., Sun, Y., Yin, B., Jiang, D.: SVR-Based Facial Texture Driving for Realistic Expression Synthesis. In: Third International Conference on Image and Graphics, Hong Kong, China, pp. 456–459 (2004)Google Scholar
  13. 13.
    Lee, Y., Terzopoulos, D., Waters, K.: Realistic Modeling for Facial Animation. In: Proceedings of SIGGRAPH 1995, ACM SIGGRAPH. Annual Conference Series, pp. 55–62. ACM, Los Angeles (1995)Google Scholar
  14. 14.
    Liu, Z., Shan, Y., Zhang, Z.: Expressive Expression Mapping with Ratio Images. In: SIGGRAPH 2001, Los Angeles, August 2001, pp. 271–276 (2001)Google Scholar
  15. 15.
    DaLong, J., Wen, G., ZhaoQi, W., YiQiang, C.: Realistic 3D Facial Animations with Partial Expression. Chinese Journal of Computers 27(6), 750–757 (2004)Google Scholar
  16. 16.
    Liu, Y., Li, Y., Tao, L., Xu, G.: Multi-view Face Alignment Guided by Several Facial Feature Points. In: Proceedings of the Third International Conference on Image and Graphics, pp. 238–241 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yanghua Liu
    • 1
  • Guangyou Xu
    • 1
  • Linmi Tao
    • 1
  1. 1.Key Lab. on Pervasive Computing Ministry of EducationTsinghua Univ BeijingChina

Personalised recommendations