Presentation | 2012-05-18 Procrustes analysis characterized by heteroscedasticity, and its application Yuka KOBAYASHI, Kyouko SUDO, Hiroshi KANEKO, Kazutoshi TAGAI, Mutsuo SANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper we propose the method for matching a set of 3D data sequences using Procrustes Analysis, which is a generalized description of the linear regression model. It enables the flexible matching permitting rotation and the deformation. We also introduce a modified regression model with a term of heteroskedasticity in order to take account of the chage of variance. We applied the method to the recognition of sign language data obtained by motion capture, the result of which suggests the model with heteroskedasticity term is more robust to the change of variance due to the data property. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Procrustes analysis / Sign language / Moving image processing |
Paper # | IE2012-27,PRMU2012-12,MI2012-12 |
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Committee | PRMU |
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Conference Date | 2012/5/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Procrustes analysis characterized by heteroscedasticity, and its application |
Sub Title (in English) | |
Keyword(1) | Procrustes analysis |
Keyword(2) | Sign language |
Keyword(3) | Moving image processing |
1st Author's Name | Yuka KOBAYASHI |
1st Author's Affiliation | Mitsubishi UFJ Trust Systems() |
2nd Author's Name | Kyouko SUDO |
2nd Author's Affiliation | NTT Cyber Space Laboratories |
3rd Author's Name | Hiroshi KANEKO |
3rd Author's Affiliation | Faculty of Science, TOHO University |
4th Author's Name | Kazutoshi TAGAI |
4th Author's Affiliation | NEC Nexsolutions |
5th Author's Name | Mutsuo SANO |
5th Author's Affiliation | Faculty of Science, Osaka Institute Technology University |
Date | 2012-05-18 |
Paper # | IE2012-27,PRMU2012-12,MI2012-12 |
Volume (vol) | vol.112 |
Number (no) | 37 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |