Lit-Sphere extension for artistic rendering

Hideki Todo, Ken Anjyo, Shunichi Yokoyama

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The Lit-Sphere model proposed by Sloan et al. (Proceedings of Graphics Interface 2001, pp. 143-150, 2001) is a method for emulating expressive artistic shading styles for 3D scenes. Assuming that artistic shading styles are described by view space normals, this model produces a variety of stylized shading scenes beyond traditional 3D lighting control. However, it is limited to the static lighting case: the shading effect is only dependent on the camera view. In addition, it cannot support small-scale brush stroke styles. In this paper, we propose a scheme to extend the Lit-Sphere model based on light space normals rather than view space normals. Owing to the light space representation, our shading model addresses the issues of the original Lit-Sphere approach, and allows artists to use a light source to obtain dynamic diffuse and specular shading. Then the shading appearance can be refined using stylization effects including highlight shape control, sub-lighting effects, and brush stroke styles. Our algorithms are easy to implement on GPU, so that our system allows interactive shading design.

Original languageEnglish
Pages (from-to)473-480
Number of pages8
JournalUser Modeling and User-Adapted Interaction
Volume29
Issue number6-8
DOIs
Publication statusPublished - Jun 1 2013

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Lighting
Brushes
Light sources
Cameras
Graphics processing unit

All Science Journal Classification (ASJC) codes

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

Cite this

Lit-Sphere extension for artistic rendering. / Todo, Hideki; Anjyo, Ken; Yokoyama, Shunichi.

In: User Modeling and User-Adapted Interaction, Vol. 29, No. 6-8, 01.06.2013, p. 473-480.

Research output: Contribution to journalArticle

Todo, Hideki ; Anjyo, Ken ; Yokoyama, Shunichi. / Lit-Sphere extension for artistic rendering. In: User Modeling and User-Adapted Interaction. 2013 ; Vol. 29, No. 6-8. pp. 473-480.
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