01667nas a2200229   4500000000100000000000100001008004100002260001200043653001300055653002000068653001900088653002800107653002100135100001600156700001500172245008100187856008300268300000900351490001300360520105000373022001401423       9998                            d  c04/202310aArtistic10aComputer vision10aEdge Detection10aFigurative Art Analysis10aImage Processing1 aSinem Aslan1 aLuc Steels00aAligning Figurative Paintings With Their Sources for Semantic Interpretation  uhttps://www.ijimai.org/journal/sites/default/files/2023-04/ip2023_04_004_0.pdf  a1-100 vIn Press3 aThis paper reports steps in probing the artistic methods of figurative painters through computational algorithms. We explore a comparative method that investigates the relation between the source of a painting, typically a photograph or an earlier painting, and the painting itself. A first crucial step in this process is to find the source and to crop, standardize and align it to the painting so that a comparison becomes possible. The next step is to apply different low-level algorithms to construct difference maps for color, edges, texture, brightness, etc. From this basis, various subsequent operations become possible to detect and compare features of the image, such as facial action units and the emotions they signify. This paper demonstrates a pipeline we have built and tested using paintings by a renowned contemporary painter Luc Tuymans. We focus in this paper particularly on the alignment process, on edge difference maps, and on the utility of the comparative method for bringing out the semantic significance of a painting.  a1989-1660