Take a look at this article sent by John Chalmers which describes a team led by Nicu Sebe at the University of Trento in Italy who used machine vision to analyse 500 abstract paintings at the Museum of Modern and Contemporary Art of Trento and Rovereto. The system measured how color is distributed across each work, as well as the occurrence of different shapes or outlines. Using data on how 100 people responded to the paintings, the system then worked out what emotional impact these elements had. For example, black, spiky features tended to correspond to the bleaker end of the emotional spectrum, whereas bright, smooth features were more feel-good.
Read the entire article at this link:
Computers identify what makes abstract art move us - tech - 16 November 2012 - New Scientist
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