Journal on Computing and Cultural Heritage (JOCCH)
Guest editorial: Special Issue Guest Editor's Foreword
Signal Processing
Artistic image classification: an analysis on the PRINTART database
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Quantitative modeling of artist styles in Renaissance face portraiture
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Proceedings of the 21st ACM international conference on Multimedia
Computer analysis for visual art style
SIGGRAPH Asia 2013 Technical Briefs
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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).