PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Color Constancy Using Stage Classification
Rui Lu, Arjan Gijsenij, Theo Gevers, Koen E.A. van de Sande, Jan-Mark Geusebroek and De Xu
In: IEEE International Conference on Image Processing(2009).


The aim of color constancy is to remove the effect of the color of the light source. Since color constancy is inherently an ill-posed problem, different assumptions have been proposed. Because existing color constancy algorithms are based on specific assumptions, none of them can be considered as universal. Therefore, how to select a proper algorithm for a given imaging configuration is an important question. In this paper, image stage models are used to aid the selection of a specific color constancy algorithm. Image stages are 3D models of a scene. Based on stage classification, the most suitable color constancy algorithms is selected. Experiments on large scale image datasets show that the proposed algorithm using stage classification outperforms state-of-the-art single color constancy algorithms with an improvement of almost 8%.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6191
Deposited By:Christof Monz
Deposited On:08 March 2010