Presentation | 2013-09-02 Statistical face shape model separating inter-individual variation from intra-individual variation Shin-ichi KOJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Point Distribution Model is a shape model of Active Appearance Models used in face image processing, that is represented by a weighted linear sum of a few basis vectors that were extracted with principal component analysis from the collected face geometry data. The problem of that model is that inter-individual variation and intra-individual variation were not separated. In this paper, we describe a composing method of statistical face shape model that is linearly separate dinter-individual variation and intra-individual variation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Point Distribution Model / Statistical Shape Model / Principal Component Analysis / Canonical Discriminant Analysis |
Paper # | PRMU2013-35,IBISML2013-15 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2013/8/26(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) | Statistical face shape model separating inter-individual variation from intra-individual variation |
Sub Title (in English) | |
Keyword(1) | Point Distribution Model |
Keyword(2) | Statistical Shape Model |
Keyword(3) | Principal Component Analysis |
Keyword(4) | Canonical Discriminant Analysis |
1st Author's Name | Shin-ichi KOJIMA |
1st Author's Affiliation | TOYOTA Central R&D Labs., Inc.() |
Date | 2013-09-02 |
Paper # | PRMU2013-35,IBISML2013-15 |
Volume (vol) | vol.113 |
Number (no) | 196 |
Page | pp.pp.- |
#Pages | 6 |
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