北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2006, Vol. 29 ›› Issue (3): 114-117.doi: 10.13190/jbupt.200603.114.012

• 研究报告 • 上一篇    下一篇

基于小波变换的人脸检测

聂祥飞12, 郭军1,杨震1   

  1. 1. 北京邮电大学 信息工程学院, 北京 100876; 2. 重庆三峡学院 物理与电子工程学院, 重庆 404000
  • 收稿日期:2005-06-15 修回日期:1900-01-01 出版日期:2006-06-30 发布日期:2006-06-30
  • 通讯作者: 聂祥飞

Face Detection Based on Wavelet Transform

NIE Xiang-fei12, GUO Jun1, YANG Zhen1   

  1. 1. School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. School of Physics and Electronic Engineering, Chongqing Three Gorges University, Chongqing 404000, China
  • Received:2005-06-15 Revised:1900-01-01 Online:2006-06-30 Published:2006-06-30
  • Contact: NIE Xiang-fei

摘要:

提出了一种基于二维离散小波变换的人脸检测算法。该算法采用Haar小波计算小波脸,导出了提取人脸特征向量的相应公式,利用感知准则训练线性分类器进行分类判决。在4个不同的人脸数据集上与特征脸方法进行了比较。结果表明,该算法的计算效率和检测精度均优于特征脸方法。

关键词: 人脸检测, 离散小波变换, 小波脸

Abstract:

A novel algorithm based on two-dimensional discrete wavelet transform for frontal face detection was presented. The algorithm calculated waveletfaces by using Haar wavelet, deduced corresponding formulation for face feature extraction, and used perceptron algorithm to train linear classifier for classification. The comparison between the proposed approach and Eigenfaces method was carried out on four different face data sets. The results show that the computational efficiency and detection accuracy of the proposed algorithm is superior to Eigenfaces method.

Key words: Face detection, discrete wavelet transform, waveletfaces

中图分类号: