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ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
14 years 4 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli
ICIP
2005
IEEE
14 years 3 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
ICIP
2001
IEEE
14 years 11 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll
PAMI
2008
156views more  PAMI 2008»
13 years 10 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
ICPR
2010
IEEE
13 years 10 months 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