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» Linear Regression for Face Recognition
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CVPR
2009
IEEE
16 years 4 months ago
Coupled Spectral Regression for Matching Heterogeneous Faces
Face recognition algorithms need to deal with variable lighting conditions. Near infrared (NIR) image based face recognition technology has been proposed to effectively overcome...
Stan Z. Li, Zhen Lei
ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Sreekar Krishna, Sethuraman Panchanathan
ICIAR
2010
Springer
14 years 8 months ago
Face Recognition from Color Images Using Sparse Projection Analysis
The paper presents a novel feature extraction technique for face recognition which uses sparse projection axes to compute a lowdimensional representation of face images. The propos...
Vitomir Struc, Nikola Pavesic
ICCV
2007
IEEE
15 years 1 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
95
Voted
FGR
2006
IEEE
108views Biometrics» more  FGR 2006»
15 years 1 months ago
Regression and Classification Approaches to Eye Localization in Face Images
We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localiz...
Mark Everingham, Andrew Zisserman