Virtual view face image synthesis using 3D spring-based face model from a single image

G. C. Feng, Pong Chi YUEN, J. H. Lai

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

Abstract

It is known that 2D views of a person can be synthesised if the face 3D model of that person is available. This paper proposes a new method, called 3D spring-based face model (SBFM), to determine the precise face model of a person with different poses and facial expressions from a single image. The SBFM combines the concepts of generic 3D face model in computer graphics and deformable template in computer vision. Face image databases from MIT AI laboratory and Yale University are used to test our proposed method and the results are encouraging.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
PublisherIEEE Computer Society
Pages530-535
Number of pages6
ISBN (Print)0769505805, 9780769505800
DOIs
Publication statusPublished - 2000
Event4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 - Grenoble, France
Duration: 28 Mar 200030 Mar 2000

Publication series

NameProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000

Conference

Conference4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
Country/TerritoryFrance
CityGrenoble
Period28/03/0030/03/00

Scopus Subject Areas

  • Computer Vision and Pattern Recognition

User-Defined Keywords

  • face recognition
  • View synthesis

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