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» A unified framework for scene illuminant estimation
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IVC
2008
205views more  IVC 2008»
13 years 4 months ago
A unified framework for scene illuminant estimation
Most illuminant estimation algorithms work with the assumption of one specific type of the light source (e.g. point light source or directional light source). This assumption brin...
Wei Zhou, Chandra Kambhamettu
ICCV
1999
IEEE
14 years 6 months ago
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance
This paper describes a new method for estimating the illumination distribution of a real scene from a radiance distribution inside shadows cast by an object in the scene. First, t...
Imari Sato, Yoichi Sato, Katsushi Ikeuchi
ICCV
1999
IEEE
13 years 9 months ago
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance
This paper describes a new method for estimating the illumination distribution of a real scene from a radiance distribution inside shadows cast by an object in the scene. First, t...
Imari Sato, Yoichi Sato, Katsushi Ikeuchi
CVPR
2003
IEEE
14 years 7 months ago
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
Depth from triangulation has traditionally been treated in a number of separate threads in the computer vision literature, with methods like stereo, laser scanning, and coded stru...
James Davis, Ravi Ramamoorthi, Szymon Rusinkiewicz
PAMI
2006
205views more  PAMI 2006»
13 years 4 months ago
Learning Outdoor Color Classification
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi