Presentation 2007-02-23
Formation of the Expression Feature Map based on a Topological Characteristic of Facial Images
Masaki ISHII, Kazuhito SATO, Hirokazu MADOKORO, Makoto NISHIDA,
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Abstract(in English) In this paper, we propose the formation method of the expression feature map with a combination of supervised and unsupervised learning. First, hierarchical SOM having a small mapping space learns topological changes of complex face patterns and generates a reference vector of face patterns to characterize each expression. Next, CPN learns reference vectors of each expression and forms a category map based on topological changes of face patterns. Finally, the category map is created emotional meaning based on neutral and six basic facial expressions. We defined this category map as the expression feature map. The experimental results for six subjects indicated that the expression feature map defined individual expression features.
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Keyword(in English) Facial image processing / Facial expression analysis / SOM / CPN
Paper # PRMU2006-223,HIP2006-116
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Committee HIP
Conference Date 2007/2/16(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Formation of the Expression Feature Map based on a Topological Characteristic of Facial Images
Sub Title (in English)
Keyword(1) Facial image processing
Keyword(2) Facial expression analysis
Keyword(3) SOM
Keyword(4) CPN
1st Author's Name Masaki ISHII
1st Author's Affiliation Akita Prefectural R&D Center()
2nd Author's Name Kazuhito SATO
2nd Author's Affiliation Akita Prefectural R&D Center
3rd Author's Name Hirokazu MADOKORO
3rd Author's Affiliation Akita Prefectural R&D Center
4th Author's Name Makoto NISHIDA
4th Author's Affiliation Faculty of Engineering and Resource Science, Akita University
Date 2007-02-23
Paper # PRMU2006-223,HIP2006-116
Volume (vol) vol.106
Number (no) 541
Page pp.pp.-
#Pages 6
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