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CVPR
2007
IEEE
16 years 4 days ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
ISDA
2006
IEEE
15 years 4 months ago
Enhancing 3D Face Recognition By Mimics Segmentation
In this paper, we present a novel approach for face recognition and authentication based on dimensional surface matching. While most of existing methods use facial intensity image...
Boulbaba Ben Amor, Mohsen Ardabilian, Liming Chen
FGR
2006
IEEE
180views Biometrics» more  FGR 2006»
15 years 4 months ago
A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
Ognjen Arandjelovic, Roberto Cipolla
PR
2006
113views more  PR 2006»
14 years 10 months ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
CAIP
2003
Springer
164views Image Analysis» more  CAIP 2003»
15 years 3 months ago
Face Recognition by Fisher and Scatter Linear Discriminant Analysis
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
Miroslaw Bober, Krzysztof Kucharski, Wladyslaw Ska...