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Multi-pose Face Recognition Using Fusion of Scale Invariant Features

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Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 144))

Abstract

This paper presents a new multi-pose face recognition approach using fusion of scale invariant features (FSIF). The FSIF is a face descriptor representing 3D face images features which is created by fusing some scale invariant features extracted by scale invariant features transforms (SIFT) from several different poses of 2D face images. The main aim of this method is to avoid using 3D scanner for estimating any pose variations of a face image but it still have reasonable achievement compare to 3D-based face recognition method for multi-pose face recognition. The experimental results show the proposed method is sufficiently to overcame large face variability due to face pose variations.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Mataram University, Jl. Majapahit 62, Mataram, Indonesia

    I Gede Pasek Suta Wijaya

  2. Computer Science and Electrical Engineering Department GSST, Kumamoto University, Kurokami 2-39-1, Kumamoto, Japan

    I Gede Pasek Suta Wijaya, Keiichi Uchimura & Gou Koutaki

Authors
  1. I Gede Pasek Suta Wijaya
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  2. Keiichi Uchimura
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  3. Gou Koutaki
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Corresponding author

Correspondence to I Gede Pasek Suta Wijaya .

Editor information

Editors and Affiliations

  1. Bina Nusantara University, Perumahan Menteng Metropolitan Kav K3-No1 7., Caking, Indonesia

    Ford Lumban Gaol

  2. , School of Computing and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, 2751, New South Wales, Australia

    Quang Vinh Nguyen

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Suta Wijaya, I.G.P., Uchimura, K., Koutaki, G. (2012). Multi-pose Face Recognition Using Fusion of Scale Invariant Features. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28314-7_28

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  • DOI: https://doi.org/10.1007/978-3-642-28314-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28313-0

  • Online ISBN: 978-3-642-28314-7

  • eBook Packages: EngineeringEngineering (R0)

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