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Building a 3D Morphable Face Model by Using Thin Plate Splines for Face Reconstruction

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Advances in Biometric Person Authentication (SINOBIOMETRICS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3338))

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Abstract

In this paper, we introduce a semi-automatic deformation alignment method, Thin Plate Spline, to generate a 3D morphable face model from 3D face data. This model includes an average 3D face on both shape and texture, and a set of morphable coefficients for individual sample faces. A primary 3D morphable face model based on Chinese people is then set up. Simulation results show the feasibility of this 3D morphable model for 2D face recognition on with different PIE in future research.

This research is supported by the NSF(60171036) and the significant technology project( 03DZ14015), Shanghai.

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References

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Author information

Authors and Affiliations

  1. Dept. of Electronic Engineering, Laboratory of Image and Intelligence, Fudan University, 220 Handan Road, Shanghai, China

    Hui Guo, Jiayan Jiang & Liming Zhang

Authors
  1. Hui Guo
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  2. Jiayan Jiang
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  3. Liming Zhang
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

    Stan Z. Li

  2. Department of Electronics & Communication Engineering, Sun Yat-Sen University, Guangzhou, China

    Jianhuang Lai

  3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  4. Center of Computer Vision, School of Mathematics and Computing Science, Sun Yat-sen University, 510275, Guangzhou, China

    Guocan Feng

  5. School of Computer Science and Engineering, Beihang University, Beijing, China

    Yunhong Wang

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© 2004 Springer-Verlag Berlin Heidelberg

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Guo, H., Jiang, J., Zhang, L. (2004). Building a 3D Morphable Face Model by Using Thin Plate Splines for Face Reconstruction. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_30

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  • DOI: https://doi.org/10.1007/978-3-540-30548-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24029-7

  • Online ISBN: 978-3-540-30548-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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