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4D facial expression recognition

  • Tianhong Fang
  • , Xi Zhao
  • , Shishir K. Shah
  • , Ioannis A. Kakadiaris
  • University of Houston

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

54 Scopus citations

Abstract

In this paper, we focus on discrete expression classification using dynamic 3D sequences (4D data) recording the facial movements. A robust approach for registering 4D data is proposed and a variant of local binary patterns on three orthogonal planes is used for feature extraction. We present a fully automatic facial expression recognition pipeline. The system was evaluated on the publicly available facial expression database BU-4DFE and promising results were obtained.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1594-1601
Number of pages8
ISBN (Print)9781467300629
DOIs
StatePublished - 2011
Externally publishedYes
Event13th IEEE International Conference on Computer Vision Workshops, ICCVW 2011 - Barcelona, Spain
Duration: 6 Nov 201113 Nov 2011

Publication series

NameProceedings of the IEEE International Conference on Computer Vision
ISSN (Print)1550-5499
ISSN (Electronic)2380-7504

Conference

Conference13th IEEE International Conference on Computer Vision Workshops, ICCVW 2011
Country/TerritorySpain
CityBarcelona
Period6/11/1113/11/11

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