APS
30th APS Annual Convention · 2018
Recognizing Artworks: Using Machine Classifiers to Reveal the Perceptual Foundations of Artistic Style
- William P. Seeley
Visiting Scholar in Psychology, Boston College - Catherine Buell
Assistant Professor of Mathematics, Fitchburg State University - Ricky Sethi
Assistant Professor of Computer Science, Fitchburg State University
Abstract
Recent interdisciplinary research employs digital image analysis algorithms to study the image statistics that underwrite our perceptual engagement with artworks. We discuss results from our research employing entropy analyses and discrete tonal analyses to classify paintings by school (Impressionism/Hudson River School), artist (Monet vs. Renoir & Sisley), and medium/technique (egg-tempura/watercolor).
Music and Arts
