Digital analysis of Van Gogh’s complementary colours
نویسندگان
چکیده
Traditionally, the analysis of visual arts is performed by human art experts only. The availability of advanced artificial intelligence techniques makes it possible to support art experts in their judgement of visual art. In this paper image-analysis techniques are applied to measure the complementary colours in the oeuvre of Vincent van Gogh. It is commonly acknowledged that, especially in his French period, Van Gogh started employed complementary colours to emphasize contours of objects or parts of scenes. We propose a method to measure complementary-colour usage in a painting by combing an opponent-colour space representation with Gabor filtering. Using this method, the analysis of a dataset of 617 digitised oil-on-canvas paintings confirms artexpert’s knowledge about the global pattern of complementary-colour usage in Van Gogh’s paintings. In addition, it provides an objective and quantifiable way to support the analysis of colours in individual paintings. Our results show that art experts can be supported by artificial-intelligence techniques.
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