Skip to main content

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

  • Conference paper
Book cover Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3852))

Included in the following conference series:

  • 2121 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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. 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. 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. 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)

    Article  Google Scholar 

  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. Parke, F.I.: Computer generated animation of faces. In: Proceedings ACM annual conference (August 1972)

    Google Scholar 

  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. 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. Terzopoulos, D., Waters, K.: Physically-based facial modeling, analysis, and animation. J. of Visualization and Computer Animation 1, 73–80 (1990)

    Google Scholar 

  10. Noh, J.-y., Neumann, U.: Expression Cloning. In: SIGGRAPH 2001, Los Angeles, August 2001, pp. 277–288 (2001)

    Google Scholar 

  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. 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. 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. 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. 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. 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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, Y., Xu, G., Tao, L. (2006). An Efficient Approach for Multi-view Face Animation Based on Quasi 3D Model. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_91

Download citation

  • DOI: https://doi.org/10.1007/11612704_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31244-4

  • Online ISBN: 978-3-540-32432-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics