Title :
Uncovering elements of style
Author :
Wolff, Josephine ; Martens, Maximiliaan ; Jafarpour, Sina ; Daubechies, Ingrid ; Calderbank, Robert
Author_Institution :
Comput. Sci. & Artificial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
This paper relates the style of 16th century Flemish paintings by Goossen van der Weyden (GvdW) to the style of preliminary sketches or underpaintings made prior to executing the painting. Van der Weyden made underpaintings in markedly different styles for reasons as yet not understood by art historians. The analysis presented here starts from a classification of the underpaintings into four distinct styles by experts in art history. Analysis of the painted surfaces by a combination of wavelet analysis, hidden Markov trees and boosting algorithms can distinguish the four underpainting styles with greater than 90% cross-validation accuracy. On a subsequent blind test this classifier provided insight into the hypothesis by art historians that different patches of the finished painting were executed by different hands.
Keywords :
art; hidden Markov models; history; image classification; psychology; trees (mathematics); wavelet transforms; 16th century Flemish painting style; art historian; boosting algorithm; finished painting; hidden Markov trees; image analysis; preliminary sketch style; underpainting classification; underpainting style; wavelet analysis; Accuracy; Art; Hidden Markov models; Painting; Wavelet analysis; Wavelet transforms; Artwork Classification; Hidden Markov Trees; Image Analysis; Machine Learning; Wavelet Transforms;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946579