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» Resampling for Face Recognition
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98
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AMFG
2003
IEEE
102views Biometrics» more  AMFG 2003»
15 years 6 months ago
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
120
Voted
ICPR
2010
IEEE
15 years 28 days ago
Decision Fusion for Patch-Based Face Recognition
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
Berkay Topcu, Hakan Erdogan
DAGM
2011
Springer
14 years 16 days ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...
97
Voted
AVSS
2006
IEEE
15 years 6 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
FGR
2006
IEEE
180views Biometrics» more  FGR 2006»
15 years 6 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