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Extracting Structured Topological Features from 3D Facial Surface: Approach and Applications

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Image Analysis and Recognition (ICIAR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5627))

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Abstract

In this paper, we present an approach for extracting structured topological features from a triangular mesh manifold. These features include concentric rings of facets, which can be arranged in spiral-wise fashion. After describing the approach, the paper highlights the utility of such features in some applications related to 3D facial data processing. This include, assessing triangular mesh tessellations, detecting facial landmarks, computing geodesic features, and extracting shape descriptors. Experiments made with 3D facial data confirmed the great potential of this framework.

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Author information

Authors and Affiliations

  1. College of Information Technology, University of Dubai, UAE

    Naoufel Werghi

Authors
  1. Naoufel Werghi
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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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Werghi, N. (2009). Extracting Structured Topological Features from 3D Facial Surface: Approach and Applications. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_49

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  • DOI: https://doi.org/10.1007/978-3-642-02611-9_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02610-2

  • Online ISBN: 978-3-642-02611-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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