3D facial expression recognition: A perspective on promises and challenges

T. Fang, X. Zhao, O. Ocegueda, S. K. Shah, I. A. Kakadiaris

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

75 Scopus citations

Abstract

This survey focuses on discrete expression classification and facial action unit recognition performed using 3D face data, possibly including a corresponding 2D texture image. Research trends to date are summarized and the limitations of current methods are discussed. The challenges towards the development of more accurate and automated 3D facial expression recognition methods are identified. We also call for standardized experimental protocols in order to draw fair and meaningful comparisons between different systems.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Pages603-610
Number of pages8
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 - Santa Barbara, CA, United States
Duration: Mar 21 2011Mar 25 2011

Publication series

Name2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Conference

Conference2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Country/TerritoryUnited States
CitySanta Barbara, CA
Period3/21/113/25/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

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