Art Deco Style Generation Method Based on Block Filling and Style Optimization

被引:0
作者
Zhang, Mu [1 ]
Guo, Qingyun [1 ]
Li, Liang [1 ]
Pan, Deng [2 ]
Zhou, Sihong [1 ]
机构
[1] Tianjin Univ, Sch Comp Software, Tianjin, Peoples R China
[2] Tianjin Univ, Renai Coll, Tianjin, Peoples R China
来源
2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1 | 2018年
关键词
Art Deco; Computer Assistant Design; Modernism Art Design;
D O I
10.1109/ISCID.2018.00060
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are layered methods for generating art-works such as Pollock's drip style and Picasso stereoscopic painting. The disadvantage is that these layered methods do not consider the relationship between layers when they are implemented. In this paper, we propose a block-based method to generate the patterns of Art Deco style. Our method not only includes the details of generated artwork, but also makes up for the deficiencies of the layered methods. Having analyzed the characteristics of the Art Deco style, we divide Art Deco pattern into certain blocks and then fill with stylized blocky elements. All blocks are filled independently, then there would be many times of refilling after the first filling to smooth the generated images. Moreover, each block is semi randomly drawn with featured lines. Finally, we implement our block-based algorithm, and demonstrate our approach can systematically generate patterns of Art Deco style.
引用
收藏
页码:234 / 238
页数:5
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