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» Adaptation of SIFT Features for Robust Face Recognition
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MVA
2000
154views Computer Vision» more  MVA 2000»
14 years 9 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
ICIP
2005
IEEE
15 years 11 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
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
15 years 3 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
CVPR
2007
IEEE
15 years 3 months ago
Robust Face Alignment for Illumination and Pose Invariant Face Recognition
In building a face recognition system for real-life scenarios, one usually faces the problem that is the selection of a feature-space and preprocessing methods such as alignment u...
Fatih Kahraman, Binnur Kurt, Muhittin Gökmen
ICETET
2009
IEEE
14 years 7 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar