Presentation	2007-03-16 Face Recognition across pose using Self-organizing Maps Saleh ALY, Naoyuki TSURUTA, Rin-Ichiro TANIGUCHI,
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Abstract(in English)	We present a comparison between Self-organizing map (SOM) and hierarchical SOM (HSOM) to tackle pose variation problem in face recognition. Self-organizing map (SOM) transforms the high dimensional face images into low dimensional topological space. However, in SOM, the hierarchical relation between data set does not preserve. HSOM solve this problem, moreover it reduces the time required for winner searching. In this paper, CMU-PIE face database is utilized to show the accuracy of both models.
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Keyword(in English)	Face Recognition / pose variations / SOM
Paper #	NC2006-200
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Conference Information
Committee	NC
Conference Date	2007/3/9(1days)
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Registration To	Neurocomputing (NC)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Face Recognition across pose using Self-organizing Maps
Sub Title (in English)
Keyword(1)	Face Recognition
Keyword(2)	pose variations
Keyword(3)	SOM
1st Author's Name	Saleh ALY
1st Author's Affiliation	Department of Intelligent Systems, Kyushu University()
2nd Author's Name	Naoyuki TSURUTA
2nd Author's Affiliation	Department of Electronics Engineering and Computer Science, Fukuoka University
3rd Author's Name	Rin-Ichiro TANIGUCHI
3rd Author's Affiliation	Department of Intelligent Systems, Kyushu University
Date	2007-03-16
Paper #	NC2006-200
Volume (vol)	vol.106
Number (no)	590
Page	pp.pp.-
#Pages	4
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