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Symmetric Feature Extraction for Pose Neutralization

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Computer Vision - ACCV 2014 Workshops (ACCV 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9010))

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Abstract

This paper proposes a method to neutralize the pose of facial databases. Efficient use of the feature extractors and its properties leads to the pose neutralization. Feature extractors discussed here are few transforms like Discrete Cosine Transform (DCT) and Discrete Fourier Transform (DFT). Symmetric behavior of transforms is the basis of the proposed method. Modulo based approach in extracting the features was found to provide better results than the conventional techniques for pose neutralization. Experiments are conducted on various benchmark facial databases mainly pose variant FERET and FEI which show the promising performance of the proposed method in neutralizing pose.

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Authors and Affiliations

  1. M S Ramaiah Institute of Technology, Bangalore, India

    S. G. Charan

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  1. S. G. Charan
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Correspondence to S. G. Charan .

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Editors and Affiliations

  1. Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India

    C. V. Jawahar

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

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Charan, S.G. (2015). Symmetric Feature Extraction for Pose Neutralization. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9010. Springer, Cham. https://doi.org/10.1007/978-3-319-16634-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-16634-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16633-9

  • Online ISBN: 978-3-319-16634-6

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