Rhythmic Brushstrokes Distinguish Van Gogh from His Contemporaries
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Rhythmic Brushstrokes Distinguish van Gogh from His Contemporaries: Findings via Automated Brushstroke Extraction Jia Li, Senior Member, IEEE, Lei Yao, Student Member, IEEE, Ella Hendriks, and James Z. Wang, Senior Member, IEEE. Abstract— Art historians have long observed the highly the paintings by Vincent van Gogh were mostly based on color or characteristic brushstroke styles of Vincent van Gogh and local visual features such as texture or edges [2], [12]. Although have relied on discerning these styles for authenticating and the extraction of brushstrokes or brushstroke related features have dating his works. In our work, we compared van Gogh with been investigated [5], [13], [27], [19], [3], it is not evident that his contemporaries by statistically analyzing a massive set of automatically extracted brushstrokes. A novel extraction method these methods can be used readily to find a large number of is developed by exploiting an integration of edge detection and brushstrokes for a relatively general collection of van Gogh’s clustering-based segmentation. Evidence substantiates that van paintings. For instance, one particular painting of van Gogh is Gogh’s brushstrokes are strongly rhythmic. That is, regularly discussed in [27], and some manual operations are necessary shaped brushstrokes are tightly arranged, creating a repetitive to complete the process of extracting brushstrokes. In [13], to and patterned impression. We also found that the traits that find brushstrokes, manual input is required; and the method distinguish van Gogh’s paintings in different time periods of his is derived for paintings drastically different from van Gogh’s.
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