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» Approximating dynamic global illumination in image space
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ACCV
2007
Springer
14 years 1 months ago
Color Constancy Via Convex Kernel Optimization
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
Xiaotong Yuan, Stan Z. Li, Ran He
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 1 months ago
Shape, Motion, and Parameter Estimation of Large Flexible Space Structures using Range Images
– Future space missions are expected to use robotic systems to assemble, inspect, and maintain large space structures in orbit. To carry out these tasks, robots need to know the ...
Matthew D. Lichter, Steven Dubowsky
CVPR
2003
IEEE
14 years 9 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
TCSV
2008
195views more  TCSV 2008»
13 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
CGF
2008
151views more  CGF 2008»
13 years 7 months ago
Characterization for High Dynamic Range Imaging
In this paper we present a new practical camera characterization technique to improve color accuracy in high dynamic range (HDR) imaging. Camera characterization refers to the pro...
Min H. Kim, Jan Kautz