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Conference Papers Year : 2005

Learned Color Constancy From Local Correspondences


The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays, automatic color constancy is still a difficult problem. This article proposes a new step forward towards solving this color constancy problem. Basically, it consists in learning how illumination can affect some reference objects. During a learning stage, images are taken under various illuminations, allowing for automatic building of a model explaining color changes. The model can explain complex non-linear color transformations with only a few parameters. Therefore, the observation of color variations in a few reference regions (e.g. known object) is enough to estimate the global color changes.

Dates and versions

inria-00548507 , version 1 (20-12-2010)



Tijmen Moerland, Frédéric Jurie. Learned Color Constancy From Local Correspondences. IEEE International Conference on Multimedia and Expo (ICME '05), Jul 2005, Amsterdam, Netherlands. pp.820-823, ⟨10.1109/ICME.2005.1521549⟩. ⟨inria-00548507⟩
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