Presentation 2000/3/21
A Suggestion of Prametric Discriminate Space for image recognition
Akihiro Yamagami, Masahiro Ishii, Yasuharu Koike, Makoto Sato,
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Abstract(in English) Parameter estimation of 3D object from it's appearance is an important problem in image recognition. Parametric Eigenspace Method is one of the most famous methods for this problem. It is based on Principal Component Analysis. So, Eigenspace is a proper space in a sense of information compression, but not a proper space in a sense of parameter estimation. In this paper, we propose a new method to create a more appropriate space for parameter estimation. To confirm the efficiency of our method, we experimented hand pose estimation.
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Keyword(in English) Parametric Eigenspace / Pose estimation / Subspace / Hand Pose Estimation
Paper # HIP99-78
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Conference Date 2000/3/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Suggestion of Prametric Discriminate Space for image recognition
Sub Title (in English)
Keyword(1) Parametric Eigenspace
Keyword(2) Pose estimation
Keyword(3) Subspace
Keyword(4) Hand Pose Estimation
1st Author's Name Akihiro Yamagami
1st Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology()
2nd Author's Name Masahiro Ishii
2nd Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
3rd Author's Name Yasuharu Koike
3rd Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
4th Author's Name Makoto Sato
4th Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
Date 2000/3/21
Paper # HIP99-78
Volume (vol) vol.99
Number (no) 722
Page pp.pp.-
#Pages 8
Date of Issue