Automatically generating abstract paintings in Malevich Style

Wenyuan Tao, Yaxuan Liu, Kang Zhang

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

15 Citations (Scopus)

Abstract

This paper presents an approach of automatically generating abstract paintings of Malevich Style. Through parameterized program and flexible production processes, we successfully generated images mimicking the styles of the abstract artist Kazimir Malevich, having classified different styles of his paintings. The generated results using the basic components in Malevich's style based on his art theory are shown and the reason why some colors are chosen are also discussed.

Original languageEnglish
Title of host publication2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings
EditorsYan Han, Wenai Song, Simon Xu, Lichao Chen, Roger Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages201-205
Number of pages5
ISBN (Electronic)9781479948604
DOIs
Publication statusPublished - 26 Sept 2014
Externally publishedYes
Event2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings - Taiyuan, China
Duration: 4 Jun 20146 Jun 2014

Publication series

Name2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings

Conference

Conference2014 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014 - Proceedings
Country/TerritoryChina
CityTaiyuan
Period4/06/146/06/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Abstract Painting
  • Computational Aesthetics
  • Generative Art
  • Kazimir Malevich

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