Shadow removal in indoor scenes

Abstract : In this paper, we propose a shadow removal algorithm for indoor scenes. This algorithm uses three types of constraints: chromaticity consistency, texture consistency and range of shadow intensity. The chromaticity consistency is verified in both HSV and RGB color spaces. The texture verification is based on the local coherency (over a pixel neighbourhood) of intensity reduction ratio between shadows and background. Finally, for the range of shadow intensity, we define a localized lower bound of the intensity reduction ratio so that dark mobile objects are not classified as shadows. Because the chromaticity constraint is only correct if the chromaticity of ambient light is the same as that of diffuse light, our algorithms only works in the indoor scenes.
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Anh-Tuan Nghiem, François Bremond, Monique Thonnat. Shadow removal in indoor scenes. IEEE International Conference On Advanced Video and Signal Based Surveillance, Sep 2008, Santa Fe, New Mexico, United States. ⟨10.1109/AVSS.2008.70⟩. ⟨inria-00502953⟩

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