›› 2012, Vol. 25 ›› Issue (12): 141-.

• Articles • Previous Articles     Next Articles

A Survey of the 3D Face Feature Extraction Method

WANG Hong-Yong, WANG Qing-Qing   

  1. (School of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China)
  • Online:2012-12-15 Published:2013-02-28

Abstract:

Effective face feature extraction is the key component of face recognition technology.The traditional 2D images are vulnerable to illumination,facial pose and expression,while the effect of 3D data is thought to not vulnerable to illumination and facial pose.This article reviews 3D face feature extraction from the local features and the overall features.The article compares some of the methods and analyzes the effectiveness of these methods,and finally summarizes the advantages and disadvantages of the 3D face feature extraction method.

Key words: 3D face feature extraction;feature extraction;local feature;overall feature;feature point

CLC Number: 

  • TP391.41