Skip to main content

Face Modeling and Adaptive Texture Mapping for Model Based Video Coding

  • Conference paper
Computer Analysis of Images and Patterns (CAIP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3691))

Included in the following conference series:

  • 1143 Accesses

Abstract

3D facial synthesis has been frequently used in model based video coding applications and became popular in various multimedia applications. In this paper a 3D face model, its adaptation algorithm and a texture mapping method using two orthogonal photos are presented to solve several 3D estimation problems in model based video coding. We are successfully estimating the frames between the front and the side views of the face. The experimental results show that the proposed Rotation Adaptive Texture Mapping (RATM) technique increases the visual quality of the synthesized face during rotations of the head, while achieving a PSNR value up to 33dB.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Forchheimer, R., Fahlander, O., Kronander, T.: Low bit-rate coding through animation. In: Proc. Picture Coding Symposium (PCS), Davis, California, pp. 113–114 (March 1983)

    Google Scholar 

  2. Forchheimer, R., Fahlander, O., Kronander, T.: A semantic approach to the transmission of face images. In: Proc. Picture Coding Symposium (PCS), Cesson-Sevigne, France, vol. 10(5) (July 1984)

    Google Scholar 

  3. Ip, H.H.S., Yin, L.: Constructing a 3D Individual Head Model from two Orthogonal Views. In: The Visual Computer, pp. 254–266. Springer, Heidelberg (1996)

    Google Scholar 

  4. Cheng, C.-M., Lai, S.-H.: An Integrated Approach to 3D Face Model Reconstruction from Video. In: Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, Tracking of Faces and Gestures in Real-Time Systems, RATFG-RTS 2001 (July 2001)

    Google Scholar 

  5. Xu, G., et al.: Three-dimension Face Modeling for virtual space teleconferencing systems. Trans. IEICE, E73 (October 1990)

    Google Scholar 

  6. Sheng, Y., Sadka, A.H., Kondoz, A.M.: Automatic 3D face synthesis using single 2D video frame. In: ELECTRONICS LETTERS 2004, September 16, vol. 40(19), (2004)

    Google Scholar 

  7. Yan, J., Zhang, H.: Realistic Virtual Face and Body Synthesis. In: MVA2000, International Workshop on Machine Vision Applications, Tokyo, Japan, November 28-30 (2000)

    Google Scholar 

  8. Ahlberg, J.: Candide-3: an updated parameterised face. Report No. LiTH-ISY-R-2326, Linkoping University, Sweden (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yurtkan, K., Soyel, H., Demirel, H., Özkaramanlı, H., Uyguroğlu, M., Varoğlu, E. (2005). Face Modeling and Adaptive Texture Mapping for Model Based Video Coding. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_61

Download citation

  • DOI: https://doi.org/10.1007/11556121_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28969-2

  • Online ISBN: 978-3-540-32011-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics