Presentation	2007-09-04 Automatic Frontal Face Recognition Using Gradient Features Wataru OHYAMA, Tetsushi WAKABAYASHI, Fumitaka KIMURA,
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Abstract(in English)	We propose an automatic frontal face recognition method using gradient features. Our proposed method consists of three main stages: 1) face detection, 2) detection of tight bounding box of face using the result of facial feature extraction and 3) face recognition. In each stage, we use the gradient of image instead of pixel values. Face recognition experiments based on CSU Face identification Evaluation scheme using FERET database suggests that the gradient features has better performance than conventional pixel-based face recognition.
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Paper #	PRMU2007-70,HIP2007-79
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Committee	PRMU
Conference Date	2007/8/27(1days)
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Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	ENG
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Title (in English)	Automatic Frontal Face Recognition Using Gradient Features
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1st Author's Name	Wataru OHYAMA
1st Author's Affiliation	Graduate School of Engineering, Mie University()
2nd Author's Name	Tetsushi WAKABAYASHI
2nd Author's Affiliation	Graduate School of Engineering, Mie University
3rd Author's Name	Fumitaka KIMURA
3rd Author's Affiliation	Graduate School of Engineering, Mie University
Date	2007-09-04
Paper #	PRMU2007-70,HIP2007-79
Volume (vol)	vol.107
Number (no)	206
Page	pp.pp.-
#Pages	6
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