Strategies for a reduction to 2D graphical styles in 3D environment

Yen Jung Chang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, I describe the development of conceptual strategies and technical ideas to create images and animations with 2D graphical styles by 3D computer animation tools. Reduction is the initial notion in this project to express idea efficiently and aesthetically. The method I used in this project is to directly reference animations produced by traditional hand-drawn technique. UPA's (United Production of America) animation style, Japanese anime and a contemporary French animated short are the primary inspirations to achieve the reduction in imagery. My approach is related to the category of Non-photorealistic Rendering (NPR) to distinguish from realistic oriented computer image processes. A set of strategies were induced through the visual experiments and the production of an animated short, Sophie's Secret (2008). 3D computer techniques associated with this animation project are described and still images of this project are also presented.

Original languageEnglish
Title of host publicationProceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010
Pages1-8
Number of pages8
Publication statusPublished - 2010
Externally publishedYes
Event11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010 - Innsbruck, Austria
Duration: 2010 Feb 172010 Feb 19

Publication series

NameProceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010

Conference

Conference11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010
Country/TerritoryAustria
CityInnsbruck
Period2010/02/172010/02/19

Keywords

  • 3D computer animation
  • Computer graphics
  • Digital art
  • Non-photorealistic rendering
  • Toon shading

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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