Presentation | 2012-10-13 Examining face detection algorithms by reverse correlation method Megumi YAMAOKA, Katsumi WATANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | By analyzing the false detection images obtained by making two major algorithms of face detection (AdaBoost and EigenFace), we investigated the functional difference of the algorithms. Specifically we tried to analyze AdaBoost algorithm and EigenFace algorithm from computer vision approach and experimental psychological approach using the images obtained by pilling up some false detection images (classification images). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face detection / reverse correlation method / classification images / computer vision / experimental psychology |
Paper # | HCS2012-48 |
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Committee | HCS |
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Conference Date | 2012/10/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Communication Science (HCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Examining face detection algorithms by reverse correlation method |
Sub Title (in English) | |
Keyword(1) | face detection |
Keyword(2) | reverse correlation method |
Keyword(3) | classification images |
Keyword(4) | computer vision |
Keyword(5) | experimental psychology |
1st Author's Name | Megumi YAMAOKA |
1st Author's Affiliation | NExT Program, Institute of Industrial Science, the University of Tokyo (Panasonic Corporation)() |
2nd Author's Name | Katsumi WATANABE |
2nd Author's Affiliation | Tokyo University |
Date | 2012-10-13 |
Paper # | HCS2012-48 |
Volume (vol) | vol.112 |
Number (no) | 238 |
Page | pp.pp.- |
#Pages | 3 |
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