Abstract
It is strange to think of a world without color. Color adds profound richness and spectacular variety to the phenomenon of visual experience. This paper explores the latent color space used by artists through various well-known paintings. We compare the paintings’ color spaces by introducing a novel probabilistic divergence to evaluate the separation (divergences) between two paintings in their color spaces. Our results show that there is a significant divergence in color spaces of the works created at different periods of history.
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Roychowdhury, S. (2021). Color Space Exploration of Paintings Using a Novel Probabilistic Divergence. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12663. Springer, Cham. https://doi.org/10.1007/978-3-030-68796-0_41
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