A team of Dartmouth researchers has developed a new computational tool to help authenticate works of art, specifically paintings, prints and drawings.
Using high resolution digital images of drawings by Bruegel and some of his imitators, as well as a painting by Perugino, the computer scientists captured data about pen or pencil stroke patterns and other elements that represent an artist’s style or aesthetic signature. This signature was then used to discover consistencies and inconsistencies within a single piece of artwork or among works by the same artist. The study was published in the Proceedings of the National Academy of Sciences (PNAS) Online Early Edition during the week of Nov. 22-26, 2004.
"Similar methods have been used to analyze works of literature, like assigning authorship of different parts of The Federalist Papers to Alexander Hamilton and James Madison," says Hany Farid, Associate Professor of Computer Science and an author on the paper. "We can find things in art work that are unique to the artist, like the subtle choice of words or phrasing and cadence that are characteristic of a certain writer."
Sue Knapp | EurekAlert!
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