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STYLISTIC ANALYSIS OF PAINTINGS USING WAVELETS AND MACHINE LEARNING

By Sina Jafarpour, Güngör Polatkan, Eugene Brevdo, Shannon Hughes, Andrei Brasoveanu and Ingrid Daubechies

Abstract

Wavelet transforms and machine learning tools can be used to assist art experts in the stylistic analysis of paintings. A dual-tree complex wavelet transform, Hidden Markov Tree modeling and Random Forest classifiers are used here for a stylistic analysis of Vincent van Gogh’s paintings with results on two stylometry challenges that concern “dating, resp. extracting distinguishing features”. 1

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.184.5240
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