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» Robust Principal Component Analysis for Computer Vision
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ICPR
2000
IEEE
14 years 8 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland
ICPR
2006
IEEE
14 years 8 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan
FGR
2011
IEEE
245views Biometrics» more  FGR 2011»
12 years 11 months ago
Fast and robust appearance-based tracking
— We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently propo...
Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzim...
PAMI
2002
122views more  PAMI 2002»
13 years 7 months ago
Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object
We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions. Si...
Ravi Ramamoorthi
WSCG
2001
167views more  WSCG 2001»
13 years 9 months ago
Component-Based Architectures for Computer Vision Systems
Research performed in the field of computer vision has steadily ignored recent advances in programming tools and techniques, relying on well-established traditional methods, such ...
A. Economopoulos, Drakoulis Martakos