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CVPR
2004
IEEE
14 years 8 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
13 years 8 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
CVPR
2007
IEEE
14 years 8 months ago
Skin Detail Analysis for Face Recognition
This paper presents a novel framework to localize in a photograph prominent irregularities in facial skin, in particular nevi (moles, birthmarks). Their characteristic configurati...
Jean-Sebastien Pierrard, Thomas Vetter
TIM
2010
214views Education» more  TIM 2010»
13 years 1 months ago
Image-Quality-Based Adaptive Face Recognition
The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting con...
Harin Sellahewa, Sabah Jassim
CVPR
2003
IEEE
14 years 8 months ago
Face Alignment Using Statistical Models and Wavelet Features
Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local m...
Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schu...