The evaluation of stylized facial expressions

Christian Wallraven, Jan Fischer, Douglas W. Cunningham, Dirk Bartz, Heinrich Bulthoff

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

7 Citations (Scopus)

Abstract

Stylized rendering aims to abstract information in an image making it useful not only for artistic but also for visualization purposes. Recent advances in computer graphics techniques have made it possible to render many varieties of stylized imagery efficiently. So far, however, few attempts have been made to characterize the perceptual impact and effectiveness of stylization. In this paper, we report several experiments that evaluate three different stylization techniques in the context of dynamic facial expressions. Going beyond the usual questionnaire approach, the experiments compare the techniques according to several criteria ranging from introspective measures (subjective preference) to task-dependent measures (recognizability, intensity). Our results shed light on how stylization of image contents affects the perception and subjective evaluation of facial expressions.

Original languageEnglish
Title of host publicationProceedings - APGV 2006
Subtitle of host publicationSymposium on Applied Perception in Graphics and Visualization
Pages85-92
Number of pages8
DOIs
Publication statusPublished - 2006
Event3rd Symposium on Applied Perception in Graphics and Visualization, APGV 2006 - Boston, MA, United States
Duration: 2006 Jul 282006 Jul 29

Publication series

NameProceedings - APGV 2006: Symposium on Applied Perception in Graphics and Visualization

Other

Other3rd Symposium on Applied Perception in Graphics and Visualization, APGV 2006
Country/TerritoryUnited States
CityBoston, MA
Period06/7/2806/7/29

Keywords

  • Evaluation
  • Facial animations
  • Perceptual graphics
  • Psychophysics
  • Recognition
  • Stylized rendering

ASJC Scopus subject areas

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

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