Machine Vision: the Answer to the Optical Debate?

Machine vision is a branch of artificial intelligence aimed at extracting useful information from images. Vision techniques have typically been applied to images acquired by cameras, but recent research efforts have seen novel algorithms work with paintings. Promising results have been obtained which cast a new light on the debate regarding the way traditional paintings were created. The author believes that only a careful scientific analysis of each painting can provide meaningful answers to the debate.