计算机工程2012，Vol.38Issue(1)：143-145,3.DOI:10.3969/j.issn.1000-3428.2012.01.044
基于虚拟图像的单样本人脸识别方法
Face Recognition Method for Single Sample Based on Virtual Image
许孝勇1
作者信息
- 1. 南京航空航天大学计算机科学与技术学院,南京210016
- 折叠
摘要
Abstract
In view of face recognition with only one sample problem, this paper presents a method of face recognition based on virtual image. In order to enhance the classification information of single training sample, it first adds some virtual images generating from the given training image. By using Discrete Wavelet Transform(DWT), the low-frequency band is used as feature for recognition. Two-dimensional Principal Component Analysis(2DPCA) is performed on the low-frequency faces. Experimental results show that this method can filter the high frequency of informations which are caused by a expression change and little cover, and promote the recognition rate.关键词
虚拟图像/离散小波变换/单样本/人脸识别Key words
virtual image/ Discrete Wavelet Transform(DWT)/ single sample/ face recognition分类
矿业与冶金引用本文复制引用
许孝勇..基于虚拟图像的单样本人脸识别方法[J].计算机工程,2012,38(1):143-145,3.
