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» Illumination Modeling and Normalization for Face Recognition
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CVPR
2005
IEEE
15 years 11 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
CVPR
1997
IEEE
15 years 1 months ago
Learning bilinear models for two-factor problems in vision
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color...
William T. Freeman, Joshua B. Tenenbaum
ICRA
2009
IEEE
160views Robotics» more  ICRA 2009»
15 years 4 months ago
Tracking of facial features to support human-robot interaction
— In this paper we present a novel methodology for detection and tracking of facial features like eyes, nose and mouth in image sequences. The proposed methodology is intended to...
Maria Pateraki, Haris Baltzakis, Polychronis Konda...
ECCV
2010
Springer
14 years 7 months ago
Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
Ognjen Rudovic, Ioannis Patras, Maja Pantic
TMI
2002
96views more  TMI 2002»
14 years 9 months ago
Imaging of spatiotemporal coincident states by DC optical tomography
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...
Harry L. Graber, Yaling Pei, Randall L. Barbour