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Compound Mutual Subspace Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method

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Computer Vision – ACCV 2010 Workshops (ACCV 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6469))

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Abstract

In this paper, we propose the Compound Mutual Subspace Method (CPMSM) as a theoretical extension of the Mutual Subspace Method, which can efficiently handle multiple sets of patterns by representing them as subspaces. The proposed method is based on the observation that there are two types of subspace perturbations. One type is due to variations within a class and is therefore defined as “within-class subspace”. The other type, named “between-class subspace”, is characterized by differences between two classes. Our key idea for CPMSM is to suppress within-class subspace perturbations while emphasizing between-class subspace perturbations in measuring the similarity between two subspaces. The validity of CPMSM is demonstrated through an evaluation experiment using face images from the public database VidTIMIT.

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Author information

Authors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, Japan

    Naoki Akihiro & Kazuhiro Fukui

Authors
  1. Naoki Akihiro
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  2. Kazuhiro Fukui
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Editor information

Editors and Affiliations

  1. Computer Science Institute, Christian-Albrechts-University Kiel, Germany, Olshausenstr. 40, 24098, Kiel, Germany

    Reinhard Koch

  2. Institute of Computer Science and Information Engineering, National Ilan University, Shen-Lung Rd. 1, 26047, Yi-Lan, Taiwan R.O.C.

    Fay Huang

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Akihiro, N., Fukui, K. (2011). Compound Mutual Subspace Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method. In: Koch, R., Huang, F. (eds) Computer Vision – ACCV 2010 Workshops. ACCV 2010. Lecture Notes in Computer Science, vol 6469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22819-3_38

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  • DOI: https://doi.org/10.1007/978-3-642-22819-3_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22818-6

  • Online ISBN: 978-3-642-22819-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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