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» Using Component Features for Face Recognition
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ICIP
2005
IEEE
14 years 9 months ago
Extracting micro-structural gabor features for face recognition
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
Dian Gong, Qiong Yang, Xiaoou Tang, Jianhua Lu
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
14 years 2 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee
KBS
2002
150views more  KBS 2002»
13 years 7 months ago
When eigenfaces are combined with wavelets
This paper presents a novel and interesting combination of wavelet techniques and eigenfaces to extract features for face recognition. Eigenfaces reduce the dimensions of face vec...
Li Bai, Yihui Liu
ICPR
2010
IEEE
13 years 9 months ago
Feature Space Hausdorff Distance for Face Recognition
We propose a novel face image similarity measure based on Hausdorff distance (HD). In contrast to conventional HD-based measures, which are generally applied in the image space (s...
Shaokang Chen, Brian Carrington Lovell
ICPR
2008
IEEE
14 years 2 months ago
Representative feature chain for single gallery image face recognition
Under the constraint of using only a single gallery image per person, this paper proposes a fast multi-class pattern classification approach to 2D face recognition robust to chan...
Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C....