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Face Modeling and Wrinkle Simulation Using Convolution Surface

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Articulated Motion and Deformable Objects (AMDO 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4069))

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Abstract

This paper presents a new method to simulate wrinkles on individual face model, applying convolution surface to face modeling. A generic face mesh is deformed and the texture image is computed using image-based modeling technique. The deformed mesh is then convolved with a kernel function to generate a convolution surface, and wrinkles are generated by modulating the surface with a designed profile function. The pre-computed texture is mapped onto the convolution surface to enhance the realism. Experimental results show that our method can generate wrinkles with different patterns by regulating some parameters of the profile function.

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Author information

Authors and Affiliations

  1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, 200240, China

    Qing He, Minglei Tong & Yuncai Liu

Authors
  1. Qing He
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  2. Minglei Tong
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  3. Yuncai Liu
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Editor information

Editors and Affiliations

  1. Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears Edifici Anselm Turmeda, Ctra. de Valldemossa km 7,5, 07122, Palma de Mallorca, Spain

    Francisco J. Perales

  2. School of Informatics, University of Edinburgh, James Clerk Maxwell Building, The King’s Buildings, Mayfield Road, EH9 3JZ, Edinburgh, UK

    Robert B. Fisher

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© 2006 Springer-Verlag Berlin Heidelberg

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He, Q., Tong, M., Liu, Y. (2006). Face Modeling and Wrinkle Simulation Using Convolution Surface. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2006. Lecture Notes in Computer Science, vol 4069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11789239_25

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  • DOI: https://doi.org/10.1007/11789239_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36031-5

  • Online ISBN: 978-3-540-36032-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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