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» Feature Selection for Pose Invariant Face Recognition
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AIPR
2005
IEEE
14 years 2 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
WACV
2007
IEEE
14 years 2 months ago
On Channel Reliability Measure Training for Multi-Camera Face Recognition
Single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. Face recognition using ...
Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terran...
TIM
2010
214views Education» more  TIM 2010»
13 years 3 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
2009
IEEE
14 years 3 months ago
Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition
This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff...
Sanqiang Zhao, Yongsheng Gao
ICIP
2004
IEEE
14 years 10 months ago
Facial similarity across age disguise illumination and pose
Illumination, pose variations, disguises, aging effects and expression variations are some of the key factors that affect the performance of face recognition systems. Face recogni...
Narayanan Ramanathan, Rama Chellappa, Amit K. Roy ...