An algorithm created by researchers at Lawrence Technological University in Michigan can make precise classifications of paintings using pattern recognition and statistical methods (Photo: Tupangato/Shutterstock )
A computer-generated graph of similarities between 34 different painters (Image: Lior Shamir)
Making broad differentiations between modern and classic paintings can be fairly easy for the untrained eye, but telling the difference between an Impressionist and a Post-Impressionist painting may require a certain knowledge of art history. Well, it ain’t necessarily so when it comes to computers. An algorithm created and tested by computer scientists Lior Shamir and Jane Tarakhovsky, of Lawrence Technological University in Michigan, produced surprisingly accurate and expert results in art analysis.
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