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» Using Component Features for Face Recognition
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IVC
2008
147views more  IVC 2008»
15 years 2 months ago
Distinctive and compact features
We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinction between similar classes, combined with tole...
Ayelet Akselrod-Ballin, Shimon Ullman
186
Voted
TIM
2010
214views Education» more  TIM 2010»
14 years 9 months ago
Image-Quality-Based Adaptive Face Recognition
The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting con...
Harin Sellahewa, Sabah Jassim
135
Voted
TSMC
2008
198views more  TSMC 2008»
15 years 2 months ago
Representation Plurality and Fusion for 3-D Face Recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine the benefits of various score-, rank-, and decision-level fusion rules. We investigate f...
Berk Gökberk, Helin Dutagaci, A. Ulas, Lale A...
127
Voted
ICPR
2008
IEEE
15 years 9 months ago
Multilinear analysis based on image texture for face recognition
In this paper, a multilinear approach based on image texture for face recognition is present. First, we extract the texture features of the facial images using the Local Binary Pa...
Hu-chuan Lu, Hao Chen, Yen-wei Chen
ECCV
2010
Springer
15 years 6 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...