Uncovering elements of style

Acoustics, Speech and Signal Processing(2011)

引用 1|浏览17
暂无评分
摘要
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.
更多
查看译文
关键词
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,Artwork Classification,Hidden Markov Trees,Image Analysis,Machine Learning,Wavelet Transforms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要