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3D Face Recognition Based on Local Shape Patterns and Sparse Representation Classifier

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Advances in Multimedia Modeling (MMM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6523))

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Abstract

In recent years, 3D face recognition has been considered as a major solution to deal with these unsolved issues of reliable 2D face recognition, i.e. illumination and pose variations. This paper focuses on two critical aspects of 3D face recognition: facial feature description and classifier design. To address the former one, a novel local descriptor, namely Local Shape Patterns (LSP), is proposed. Since LSP operator extracts both differential structure and orientation information, it can describe local shape attributes comprehensively. For the latter one, Sparse Representation Classifier (SRC) is applied to classify these 3D shape-based facial features. Recently, SRC has been attracting more and more attention of researchers for its powerful ability on 2D image-based face recognition. This paper continues to investigate its competency in shape-based face recognition. The proposed approach is evaluated on the IV2 3D face database containing rich facial expression variations, and promising experimental results are achieved which prove its effectiveness for 3D face recognition and insensitiveness to expression changes.

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Author information

Authors and Affiliations

  1. LIRIS Laboratory, CNRS 5205, Ecole Centrale Lyon, 69134, Lyon, France

    Di Huang, Karima Ouji, Mohsen Ardabilian & Liming Chen

  2. School of Computer Science and Engineering, Beihang University, 100091, Beijing, China

    Yunhong Wang

Authors
  1. Di Huang
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  2. Karima Ouji
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  3. Mohsen Ardabilian
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  4. Yunhong Wang
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  5. Liming Chen
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Editor information

Editors and Affiliations

  1. National Taiwan Ocean University, Keelung, Taiwan

    Kuo-Tien Lee  & Jun-Wei Hsieh  & 

  2. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Hsiang Tsai

  3. Academia Sinica, Taipei, Taiwan

    Hong-Yuan Mark Liao

  4. Cornell University, Ithaca, NY, USA

    Tsuhan Chen

  5. National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan

    Chien-Cheng Tseng

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© 2011 Springer-Verlag Berlin Heidelberg

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Huang, D., Ouji, K., Ardabilian, M., Wang, Y., Chen, L. (2011). 3D Face Recognition Based on Local Shape Patterns and Sparse Representation Classifier. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17832-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-17832-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17831-3

  • Online ISBN: 978-3-642-17832-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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