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FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
13 years 12 months ago
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-b...
Athinodoros S. Georghiades, Peter N. Belhumeur, Da...
ICBA
2004
Springer
207views Biometrics» more  ICBA 2004»
14 years 28 days ago
Dynamic Local Feature Analysis for Face Recognition
This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for human face recognition. In our proposed method, the face shape and the facial texture informa...
Johnny Ng, Humphrey Cheung
ICCV
2007
IEEE
13 years 11 months ago
Probabilistic Linear Discriminant Analysis for Inferences About Identity
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Simon J. D. Prince, James H. Elder
AVBPA
2003
Springer
78views Biometrics» more  AVBPA 2003»
14 years 24 days ago
Resampling for Face Recognition
Abstract. A number of applications require robust human face recognition under varying environmental lighting conditions and different facial expressions, which considerably vary ...
Xiaoguang Lu, Anil K. Jain
CVPR
2000
IEEE
13 years 12 months ago
A Combined Feature-Texture Similarity Measure for Face Alignment under
We formulate face alignment as a model-based parameter estimation problem in this paper. First, we work within a framework that combines two separate subspace models to r epresent...
Lixin Fan, Kah Kay Sung