A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching

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In camera-based object recognition and classification, surface color is one of the most important characteristics. However, apparent object color may differ significantly according to the illumination and surface conditions. Such a variation can be an obstacle in utilizing color features. Geusebroek et al.'s color invariants can be a powerful tool for characterizing the object color regardless of illumination and surface conditions. In this work, we analyze the estimation process of the color invariants from <i>RGB</i> images, and propose a novel invariant feature of color based on the elementary invariants to meet the circular continuity residing in the mapping between colors and their invariants. Experiments show that the use of the proposed invariant in combination with luminance, contributes to improve the retrieval performances of partial object image matching under varying illumination conditions.


  • IEICE Transactions on Information and Systems

    IEICE Transactions on Information and Systems 95(10), 2522-2532, 2012-10-01

    The Institute of Electronics, Information and Communication Engineers

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