›› 2012, Vol. 25 ›› Issue (12): 141-.

• 论文 • 上一篇    下一篇

三维人脸特征提取方法综述

王宏勇,王青青   

  1. (河南工业大学 信息科学与工程学院,河南 郑州 450001)
  • 出版日期:2012-12-15 发布日期:2013-02-28
  • 作者简介:王宏勇(1966—),男,博士,副教授。研究方向:数字图像处理。王青青(1984—),女,硕士研究生。研究方向:数字图像处理。

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

摘要:

有效提取人脸特征是人脸识别技术的关键组成部分。传统的二维图像容易受到光照、姿态及表情的影响,而三维数据被认为具有光照姿态不变性。文中从局部特征和整体特征两个角度,对三维人脸特征提取进行综述,对部分方法进行比较,并分析了方法的有效性,总结了三维人脸特征提取方法的优势和困难。

关键词: 三维人脸特征提取, 特征提取, 局部特征, 整体特征, 特征点

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

中图分类号: 

  • TP391.41