Presentation 2012-10-13
Examining face detection algorithms by reverse correlation method
Megumi YAMAOKA, Katsumi WATANABE,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee HCS
Conference Date 2012/10/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Human Communication Science (HCS)
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
Date of Issue