Parallel pencil drawing stylization via structure-aware optimization

Zhihua Chen, Yuxi Jin, Bin Sheng, Ping Li, Hanqiu Sun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

This paper presents a non-photorealistic rendering technique for stylizing a photograph in the pencil drawing style, which can well preserve the fine structure of the original image. We first construct a structure map from the anti-color image of the original image to model the detailed underlying fine structure of the original image, and generate a coarse pencil drawing image with line integral convolution. Then we refine the coarse pencil drawing image with the structure map for enrich the structure information. The presented algorithm is highly parallel allowing a real-time performance with GPU implementation. Experimental results show that our approach can produce more attractive and impressive pencil drawing effects with a variety of photographs.

Original languageEnglish
Title of host publicationProceedings of the 31st International Conference on Computer Animation and Social Agents, CASA 2018
PublisherAssociation for Computing Machinery
Pages32-37
Number of pages6
ISBN (Electronic)9781450363761
DOIs
Publication statusPublished - 21 May 2018
Externally publishedYes
Event31st International Conference on Computer Animation and Social Agents, CASA 2018 - Beijing, China
Duration: 21 May 201823 May 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference31st International Conference on Computer Animation and Social Agents, CASA 2018
CountryChina
CityBeijing
Period21/05/1823/05/18

Keywords

  • Coarse pencil drawing
  • Structure map
  • Structure refinement

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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