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Learning controls for blend shape based realistic facial animation

  • Computer Science Department
  • University of Southern California
  • University of Southern California

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

112 Citations (Scopus)

Abstract

Blend shape animation is the method of choice for keyframe facial animation: a set of blend shapes (key facial expressions) are used to define a linear space of facial expressions. However, in order to capture a significant range of complexity of human expressions, blend shapes need to be segmented into smaller regions where key idiosyncracies of the face being animated are present. Performing this segmentation by hand requires skill and a lot of time. In this paper, we propose an automatic, physically-motivated segmentation that learns the controls and parameters directly from the set of blend shapes. We show the usefulness and efficiency of this technique for both, motion-capture animation and keyframing. We also provide a rendering algorithm to enhance the visual realism of a blend shape model.

Original languageEnglish
Title of host publicationProceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2003
PublisherAssociation for Computing Machinery
Pages187-192
Number of pages6
ISBN (Print)1581136595, 9781581136593
DOIs
Publication statusPublished - 26 Jul 2003
Externally publishedYes
Event2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2003 - San Diego, United States
Duration: 26 Jul 2003 → 27 Jul 2003

Publication series

NameProceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2003

Conference

Conference2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2003
Country/TerritoryUnited States
CitySan Diego
Period26/07/03 → 27/07/03

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