Schaefer, Gerald, Hordley, Steven D. and Finlayson, Graham D. (2005) A combined physical and statistical approach to colour constancy. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005-06-20 - 2005-06-26.
Full text not available from this repository. (Request a copy)Abstract
Computational colour constancy tries to recover the colour of the scene illuminant of an image. Colour constancy algorithms can, in general, be divided into two groups: statistics-based approaches that exploit statistical knowledge of common lights and surfaces, and physics-based algorithms which are based on an understanding of how physical processes such as highlights manifest themselves in images. A combined physical and statistical colour constancy algorithm that integrates the advantages of the statistics-based Colour by Correlation method with those of a physics-based technique based on the dichromatic reflectance model is introduced. In contrast to other approaches not only a single illuminant estimate is provided but a set of likelihoods for a given illumination set. Experimental results on the benchmark Simon Fraser image database show the combined method to clearly out-perform purely statistical and purely physical algorithms.
Item Type: | Conference or Workshop Item (Other) |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Colour and Imaging Lab Faculty of Science > Research Groups > Interactive Graphics and Audio |
Related URLs: | |
Depositing User: | EPrints Services |
Date Deposited: | 01 Oct 2010 13:41 |
Last Modified: | 24 Sep 2024 07:11 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/2984 |
DOI: | 10.1109/CVPR.2005.20 |
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