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Computational anatomy for generating 3D avatars and boosting face recognition systems

  • M. Vaillant
  • , G. Zang
  • , J. Aliperti
  • , N. Santhanam
  • , S. Doucette
  • , B. Hoffman
  • , M. I. Miller

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

Abstract

In this paper we present results of an automated system for generating 3D avatars from one or more photographs. We are motivated by the need to support pose and lighting correction for invariant facial identification. Our approach is to extend techniques from the now well established Computational Anatomy field to accommodate the projective geometry associated with video imagery. We present the general Compuational Anatomy framework, describe its merger with and application to the projective geometry setting, and present validation results on FRGC_EXP_1.0.1, FRGC_EXP_1.0.4, and FERET databases. In particular, we find sub-degree bias in rigid motion accuracy for avatar generation, and 1/20 eye distance average errors in feature landmark accuracy.

Original languageEnglish (US)
Title of host publication2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
PublisherIEEE Computer Society
ISBN (Electronic)0769526608
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops - San Diego, United States
Duration: Sep 21 2005Sep 23 2005

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume2005-September
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Country/TerritoryUnited States
CitySan Diego
Period9/21/059/23/05

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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