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» Adaptation of SIFT Features for Robust Face Recognition
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CVPR
2010
IEEE
15 years 3 months ago
Robust Order-based Methods for Feature Description
Feature-based methods have found increasing use in many applications such as object recognition, 3D reconstruction and mosaicing. In this paper, we focus on the problem of matchin...
Raj Gupta, Anurag Mittal, Harshal Patil
JMM2
2007
127views more  JMM2 2007»
14 years 9 months ago
Robust Face Recognition through Local Graph Matching
— A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometr...
Ehsan Fazl Ersi, John S. Zelek, John K. Tsotsos
FGR
2011
IEEE
241views Biometrics» more  FGR 2011»
14 years 1 months ago
Emotion recognition from an ensemble of features
— This work details the authors’ efforts to push the baseline of expression recognition performance on a realistic database. Both subject-dependent and subject-independent emot...
Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zha...
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 1 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
14 years 11 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi