Presentation 2009-01-12
Effective Face Recognition by Branch and Bound Method
Yuta MATSUMOTO, Yuzuko UTSUMI, Yoshio IWAI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Many image features have been used for face recognition in recent decades. We propose a effective method for face recognition with Haar wavelet and branch and bound method for low computation cost. This method extracts image features by performing Haar wavelet on a normalized face image, and then recognizes a face by each classifer learned by AdaBoost in advance. The computation cost for face recognition is signifcantly reduced by selecting image features with high confdence and using a branch and bound method. We show the performance of the proposed method by experimental results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) face recognition / Haar wavelet / AdaBoost / branch and bound method
Paper # PRMU2008-195
Date of Issue

Conference Information
Committee PRMU
Conference Date 2009/1/5(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 Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effective Face Recognition by Branch and Bound Method
Sub Title (in English)
Keyword(1) face recognition
Keyword(2) Haar wavelet
Keyword(3) AdaBoost
Keyword(4) branch and bound method
1st Author's Name Yuta MATSUMOTO
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Yuzuko UTSUMI
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University
3rd Author's Name Yoshio IWAI
3rd Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2009-01-12
Paper # PRMU2008-195
Volume (vol) vol.108
Number (no) 374
Page pp.pp.-
#Pages 6
Date of Issue