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ICIP
2007
IEEE
15 years 10 months ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen
WACV
2005
IEEE
15 years 10 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
FGR
2000
IEEE
150views Biometrics» more  FGR 2000»
15 years 8 months ago
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-b...
Athinodoros S. Georghiades, Peter N. Belhumeur, Da...
ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
15 years 2 months ago
Frontal view recognition in multiview video sequences
Abstract--In this paper, a novel method is proposed as a solution to the problem of frontal view recognition from multiview image sequences. Our aim is to correctly identify the vi...
Irene Kotsia, Nikos Nikolaidis, Ioannis Pitas
FGR
1998
IEEE
203views Biometrics» more  FGR 1998»
15 years 8 months ago
Automated Facial Expression Recognition Based on FACS Action Units
Automated recognition of facial expression is an important addition to computer vision research because of its relevance to the study of psychological phenomena and the developmen...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...