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What is the creative process through which an artist goes from an originalimage to a painting? Can we examine this process using techniques from computervision and pattern recognition? Here we set the first preliminary steps toalgorithmically deconstruct some of the transformations that an artist appliesto an original image in order to establish centres of interest, which are focalareas of a painting that carry meaning. We introduce a comparative methodologythat first cuts out the minimal segment from the original image on which thepainting is based, then aligns the painting with this source, investigatesmicro-differences to identify centres of interest and attempts to understandtheir role. In this paper we focus exclusively on micro-differences withrespect to edges. We believe that research into where and how artists createcentres of interest in paintings is valuable for curators, art historians,viewers, and art educators, and might even help artists to understand andrefine their own artistic method.

Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans