Color target localization under varying illumination conditions

Abstract

In this work we have investigated the use of color descriptors to automatically locate the color target in the scene. Three different local descriptors have been tested. These descriptors are then used to return multiple localization hypotheses and a geometrical and appearance validation are introduced to select the most feasible pose. The experimental results on a public dataset of RAW images containing the Macbeth ColorChecker CC target and acquired in uncontrolled environments, showed that all the descriptors considered benefited from the hypothesis validation introduced. © 2011 Springer-Verlag Berlin Heidelberg.