Presentation | 2005/3/21 Color constancy as Bayesian inference on scene statistics Toshihiro TOYOTA, Hidekyuki HONJYO, Shigeki NAKAUCHI, |
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Abstract(in English) | The problem of colour constancy is formulated as Bayesian inference on scene statistics to recover the colour of an incident illumination. We begin with the data rendering equation describing the relation between the illuminant and statistics of surface colours, and statistics of the observed scene. We here focus on the first and second-order statistics (mean and luminance-colour correlation) of the scene which are likely to be cues for the illuminant colour as suggested by recent psychophysical observations. Then, we construct prior distributions for statistics of the illuminants and a set of surface colours as the probability density describing particular illuminants and surfaces existing in the world. Simulation results show that Bayesian estimates for the illuminant colour which maximize a posteriori probability computed with a given scene are robust across hue distribution changes of surface colours. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | color constancy / scene statistics / Bayesian inference |
Paper # | NC2004-158 |
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Committee | NC |
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Conference Date | 2005/3/21(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Color constancy as Bayesian inference on scene statistics |
Sub Title (in English) | |
Keyword(1) | color constancy |
Keyword(2) | scene statistics |
Keyword(3) | Bayesian inference |
1st Author's Name | Toshihiro TOYOTA |
1st Author's Affiliation | Depertment of Computer Sciences, Toyohashi University of Technology() |
2nd Author's Name | Hidekyuki HONJYO |
2nd Author's Affiliation | Depertment of Computer Sciences, Toyohashi University of Technology |
3rd Author's Name | Shigeki NAKAUCHI |
3rd Author's Affiliation | Depertment of Computer Sciences, Toyohashi University of Technology |
Date | 2005/3/21 |
Paper # | NC2004-158 |
Volume (vol) | vol.104 |
Number (no) | 758 |
Page | pp.pp.- |
#Pages | 6 |
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