Facial expressions reconstruction of 3D faces based on real human data

Jacey Lynn Minoi, Amelia Jati Robert Jupit, Duncan Fyfe Gillies, Sylvester Arnab

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

4 Citations (Scopus)

Abstract

This paper presents an approach to reconstruct facial expressions using real data sets of people acquired by three-dimensional (3D) scanners. The acquired raw human face surfaces are pre-processed and a statistical shape model of the human face is built using multivariate statistical approaches. Our idea of using tensor model on the multivariate statistical method is to use all the face features found in the training set, with a variety of facial variations simultaneously by separating them into a number of classes. Point-to-point correspondences between the face surfaces are required in order to do the reconstruction processes. The advantage with the tensor-based multivariate statistical method is that it is practical to generate a variety of face shapes applied in different degrees, which would give a continuous and natural transition between the facial expressions. Our experiments focused on dense correspondence to compute the deformation of facial expressions. We have also used some selected landmark points placed on the face surfaces to compute the deformation of facial expressions. The selected landmark points are based on the Facial Action Coding System (FACS) framework and the movements are analysed according to the motion of the facial features. Besides altering human facial expressions, the presented approach could also be used to neutralise facial expression to aid the performance of face recognition.

Original languageEnglish
Title of host publicationProceeding - 2012 IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012
PublisherIEEE
Pages185-189
Number of pages5
ISBN (Electronic)9781467308922
ISBN (Print)9781467308915
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 1st IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012 - Bali, Indonesia
Duration: 12 Jul 201214 Jul 2012

Publication series

NameProceeding - 2012 IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012

Conference

Conference2012 1st IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012
CountryIndonesia
CityBali
Period12/07/1214/07/12

Keywords

  • Facial animation
  • Shape
  • Computational modeling
  • Image reconstruction
  • Surface reconstruction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Control and Systems Engineering

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  • Cite this

    Minoi, J. L., Robert Jupit, A. J., Gillies, D. F., & Arnab, S. (2012). Facial expressions reconstruction of 3D faces based on real human data. In Proceeding - 2012 IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012 (pp. 185-189). [6381643] (Proceeding - 2012 IEEE International Conference on Computational Intelligence and Cybernetics, CyberneticsCom 2012). IEEE. https://doi.org/10.1109/CyberneticsCom.2012.6381643