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Color object recognition methods that are based on image retrieval algorithms can handle changes of illuminationvia image normalization, e.g. simple color-channel-normalization1or by forming a doubly-stochastic image matrix.2However these methods fail if the object sought is surrounded by clutter. Rather than directly trying to find thetarget, a viable approach is to grow a small number of feature regions called locales.3These are defined as a nondisjointcoarse localization based ...

<title>Feature localization and search by object model under illumination change</title>