Skip to main navigation Skip to search Skip to main content

3D human face modeling for facial animation using regional adaptation

  • Yanhui Huang
  • , Yangyu Fan
  • , Weihua Liu
  • , Liangliang Wang
  • Northwestern Polytechnical University Xian

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

Abstract

This paper proposes an efficient method to reconstruct human face models from 3D face scans using an adaptation algorithm based on regional information. The resulting model can represent individual facial shapes with various expressions, establishing dense correspondences across the whole facial expression sequences. We first initialize the global shape of the face model by implementing RBF interpolation. An efficient vertex mapping is then developed to reconstruct the surface details. The new 3D face are finally created by remapping the scan texture to the facial surface. Experiments show that our method can create effective 3D face models for continuous and realistic 3D facial animation.

Original languageEnglish
Title of host publication2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages394-398
Number of pages5
ISBN (Electronic)9781479954032
DOIs
StatePublished - 3 Sep 2014
Event2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Xi'an, China
Duration: 9 Jul 201413 Jul 2014

Publication series

Name2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings

Conference

Conference2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
Country/TerritoryChina
CityXi'an
Period9/07/1413/07/14

Keywords

  • 3D face modeling
  • facial animation
  • regional adaptation
  • vertex mapping

Fingerprint

Dive into the research topics of '3D human face modeling for facial animation using regional adaptation'. Together they form a unique fingerprint.

Cite this