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» Using Component Features for Face Recognition
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110
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ICPR
2010
IEEE
15 years 16 days ago
3D Face Decomposition and Region Selection Against Expression Variations
3D face recognition exploits shape information as well as texture information in 2D systems. The use of whole 3D face is sensitive to some undesired situations like expression var...
Göksel Günlü, Hasan S. Bilge
93
Voted
ACMACE
2006
ACM
15 years 8 months ago
A fast eye location method using ordinal features
Automatic facial feature location is an important step in humancomputer interaction and automatic face recognition. In this paper, a new eye location method is proposed. A classif...
Xuetao Feng, Yangsheng Wang, Li Bai
140
Voted
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
15 years 10 days ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
129
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
134
Voted
CVPR
2007
IEEE
16 years 4 months ago
Skin Detail Analysis for Face Recognition
This paper presents a novel framework to localize in a photograph prominent irregularities in facial skin, in particular nevi (moles, birthmarks). Their characteristic configurati...
Jean-Sebastien Pierrard, Thomas Vetter