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Computer Vision and Graphics pp 161–166Cite as

3D DATA PROCESSING FOR 3D FACE MODELLING

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

In this research we describe 3D data processing operations which were applied to 3D laser scans of human heads before 3D eigenfaces could be obtained both in shape space and color space. Modified median filtering was used to remove laser scan spikes. 3D scans registration exploits mapping of 3D mesh to the reference 3D mesh. The mesh is based on Facial Action Points (FAP) of MPEG-4 and the mapping itself on barycentric local coordinates in each triangle. 3D eigenfaces are computed by Singular Value Approximation (SVA) applied directly to 3D scans avoiding computation of prohibitively large covariance matrix.

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REFERENCES

  1. Blanz V., Romdhani S., Vetter T.: Face Identification across Different Poses and Illumination with a 3D Morphable Model, Proc. FG’02, pp.202–207, 2002.

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Author information

Authors and Affiliations

  1. Institute of Radioelectronics Warsaw University of Technology, Warsaw

    Krystian Ignasiak, Marcin Morgoś, Władysław Skarbek & Michał Tomaszewski

  2. Polish-Japanese Institute of Information Technology, Poland

    Michał Tomaszewski

Authors
  1. Krystian Ignasiak
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  2. Marcin Morgoś
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  3. Władysław Skarbek
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  4. Michał Tomaszewski
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Ignasiak, K., Morgoś, M., Skarbek, W., Tomaszewski, M. (2006). 3D DATA PROCESSING FOR 3D FACE MODELLING. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_23

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_23

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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