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 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.
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Keyword(in English)	Point Distribution Model / Statistical Shape Model / Principal Component Analysis / Canonical Discriminant Analysis
Paper #	PRMU2013-35,IBISML2013-15
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Committee	PRMU
Conference Date	2013/8/26(1days)
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Paper Information
Registration To	Pattern Recognition and Media Understanding (PRMU)
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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