Layered modeling and generation of Pollock’s drip style

• Published in: The Visual computer Vol. 31; no. 5; pp. 589 - 600
• Main Authors: Zheng, Yan, Nie, Xuecheng, Meng, Zhaopeng, Feng, Wei, Zhang, Kang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2015; Springer Nature B.V
• Subjects: Aesthetics; Algorithms; Art works; Artificial Intelligence; Computer Graphics; Computer Science; Creative process; Design; Expressionism; Fractal analysis; Fractals; Image Processing and Computer Vision; Mathematics; Measurement techniques; Modelling; Original Article; Statistical methods; Visual artists; Water drops; Abstract painting; Generative art; Layered modeling; Jackson Pollock; Processing
• ISSN: 0178-2789; 1432-2315
• DOI: 10.1007/s00371-014-0985-7

In this paper, we propose a layered approach to model Jackson Pollock’s dripping style of paintings. Having analyzed fractal-based algorithms and observed the details of Pollock’s paintings, we designed a layered modeling approach that divides Pollock’s artwork into four layers: from bottom up are background layer, irregular shape layer, line layer and water drop layer. The layers are drawn sequentially and independent, forming the desired Pollock style. We have developed a program using Processing to generate artworks of the dripping style. The parameters of our program can be randomly generated or tuned by the user, supporting high flexibility and effectiveness. Experimental results show that our layered modeling approach can systematically generate images resembling Pollock’s dripping style.