3D face mesh modeling from range images for 3D face recognition

A. Nasser Ansari, Mohamed Abdel-Mottaleb, Mohammad H. Mahoor

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

5 Scopus citations

Abstract

We present an algorithm for 3D face deformation and modeling using range data captured by a 3D scanner. Using only three facial feature points extracted from the range images and a 3D generic face model, the algorithm first aligns the 3D model to the entire range data of a given subject's face. Then each aligned triangle of the mesh model, with three vertices, is treated as a surface plane which is then fitted to the corresponding interior 3D range data, using least squares plane fitting. Via triangular vertices subdivisions, a higher resolution model is generated from the coordinates of the aligned and fitted model. Finally the model and its triangular surfaces are fitted once again resulting in a smoother mesh model that resembles and captures the surface characteristic of the face. Application of the final deformed model in 3D face recognition, using a publicly available database, shows promising results.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
PagesIV509-IV512
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - Jan 1 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume4
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • 3D face modeling
  • Face recognition

ASJC Scopus subject areas

  • Engineering(all)

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