Presentation 1996/6/28
Extraction of characteristic features in individual human faces from thermal distribution images
Hajime NAGAHARA, Yoshio EBINA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) For the pattern recognition of individuals, we have tried to extract characteristic features of individuals from the thermal distribution images of human faces taken with a thermograph. Although the measurement circumstance and mental condition strictly affect the face temperature distribution, the obtained thermal images seem to have somewhat personal nonlinear similarities. So, we introduced the fractal dimension to express the nonlinear similarities. We defined the fractal dimension as a complexity measure and examined if the computed values could distinguish personal sets of data by the mean square errors. The mean square error deviation patterns showed difference between a specific person from others, suggesting that this method is applicable to recognize individuals.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) extraction / thermograph / face temperature distribution / fractal dimension / mean square errors
Paper # PRMU96-42
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Conference Information
Committee PRMU
Conference Date 1996/6/28(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) Extraction of characteristic features in individual human faces from thermal distribution images
Sub Title (in English)
Keyword(1) extraction
Keyword(2) thermograph
Keyword(3) face temperature distribution
Keyword(4) fractal dimension
Keyword(5) mean square errors
1st Author's Name Hajime NAGAHARA
1st Author's Affiliation Faculty of Engineering, Yamaguchi University()
2nd Author's Name Yoshio EBINA
2nd Author's Affiliation Faculty of Engineering, Yamaguchi University
Date 1996/6/28
Paper # PRMU96-42
Volume (vol) vol.96
Number (no) 141
Page pp.pp.-
#Pages 6
Date of Issue