caa a22 4500 605541183 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00371-014-0985-7 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0985-7 Layered modeling and generation of Pollock's drip style [Elektronische Daten] [Yan Zheng, Xuecheng Nie, Zhaopeng Meng, Wei Feng, Kang Zhang] 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. Springer-Verlag Berlin Heidelberg, 2014 Jackson Pollock nationallicence Abstract painting nationallicence Layered modeling nationallicence Processing nationallicence Generative art nationallicence Zheng Yan School of Computer Software, Tianjin University, Tianjin, China aut Nie Xuecheng School of Computer Software, Tianjin University, Tianjin, China aut Meng Zhaopeng School of Computer Software, Tianjin University, Tianjin, China aut Feng Wei School of Computer Science and Technology, Tianjin University, Tianjin, China aut Zhang Kang School of Computer Software, Tianjin University, Tianjin, China aut The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 589-600 0178-2789 31:5<589 2015 31 371 https://doi.org/10.1007/s00371-014-0985-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0985-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zheng Yan School of Computer Software, Tianjin University, Tianjin, China aut NATIONALLICENCE 700 1- Nie Xuecheng School of Computer Software, Tianjin University, Tianjin, China aut NATIONALLICENCE 700 1- Meng Zhaopeng School of Computer Software, Tianjin University, Tianjin, China aut NATIONALLICENCE 700 1- Feng Wei School of Computer Science and Technology, Tianjin University, Tianjin, China aut NATIONALLICENCE 700 1- Zhang Kang School of Computer Software, Tianjin University, Tianjin, China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 589-600 0178-2789 31:5<589 2015 31 371