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Issue No.06 - June (2012 vol.34)
pp: 1159-1176
Jia Li , The Pennsylvania State University, University Park
Lei Yao , The Pennsylvania State University, University Park
Ella Hendriks , Van Gogh Museum, Amsterdam
James Z. Wang , The Pennsylvania State University, University Park
ABSTRACT
Art historians have long observed the highly characteristic brushstroke styles of Vincent van Gogh and have relied on discerning these styles for authenticating and dating his works. In our work, we compared van Gogh with his contemporaries by statistically analyzing a massive set of automatically extracted brushstrokes. A novel extraction method is developed by exploiting an integration of edge detection and clustering-based segmentation. Evidence substantiates that van Gogh's brushstrokes are strongly rhythmic. That is, regularly shaped brushstrokes are tightly arranged, creating a repetitive and patterned impression. We also found that the traits that distinguish van Gogh's paintings in different time periods of his development are all different from those distinguishing van Gogh from his peers. This study confirms that the combined brushwork features identified as special to van Gogh are consistently held throughout his French periods of production (1886-1890).
INDEX TERMS
Oil paintings, van Gogh, postimpressionism, brushstroke style, statistical analysis.
CITATION
Jia Li, Lei Yao, Ella Hendriks, James Z. Wang, "Rhythmic Brushstrokes Distinguish van Gogh from His Contemporaries: Findings via Automated Brushstroke Extraction", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.34, no. 6, pp. 1159-1176, June 2012, doi:10.1109/TPAMI.2011.203
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