Visual Complexity of Chinese Ink Paintings

被引：9

作者：

Fan, Zhen Bao ^{[1
]}

Li, Yi-Na ^{[2
]}

Yu, Jinhui ^{[3
]}

Zhang, Kang ^{[4
]}

机构：

[1] Tianjin Univ, Sch Comp Software, Tianjin 300072, Peoples R China

[2] Nankai Univ, Sch Business, Tianjin 300071, Peoples R China

[3] Zhejiang Univ, State Key Lab CAD&CG, Hangzhou 310027, Zhejiang, Peoples R China

[4] Univ Texas Dallas, Dept Comp Sci, Richardson, TX 75082 USA

来源：

ACM SYMPOSIUM ON APPLIED PERCEPTION (SAP 2017) | 2017年

关键词：

Chinese paintings; Complexity; Regression Model; Visual Perception;

D O I：

10.1145/3119881.3119883

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Complexity is a key factor influencing aesthetic judgment of artworks. Using a well-known artist Wu Guanzhong's paintings as examples, we provide quantified methods to gauge three visual attributes which influence the complexity of paintings, i. e. color richness, stroke thickness and white space. By conducting regression analysis, our research validates the influences of given visual attributes on perceived complexity, and distinguishes the complexity measurements for abstract paintings and representational paintings. Specifically, all three factors influence the complexity of abstract paintings; In contrast, mere white space influences that of representational paintings.

引用

页数：8

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