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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Parametric Eigenspace / Pose estimation / Subspace / Hand Pose Estimation |
Paper # | HIP99-78 |
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Committee | HIP |
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Conference Date | 2000/3/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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