摘要
在模式识别领域,人脸特征数据相对庞大,为了提取人脸主要的特征数据,提高识别系统的运行效率,对特征数据的降维是必须的操作。针对现有降维算法对识别率有较大影响的问题,本文总结了各类降维算法,提出了一种优化的降维算法。
In the field of pattern recognition,facial character data is relatively large,and therefore it is necessary to reduce the dimension of the character data in order to extract the primary facial main data and improve the efficiency of the recognition system.For the existing dimension reduction algorithm has some negative effect on the recognition rate,this article sums up various kinds of dimension reduction algorithms and brings forward a better algorithm.
出处
《重庆电子工程职业学院学报》
2012年第1期162-164,共3页
Journal of Chongqing College of Electronic Engineering
关键词
人脸识别
降维
人脸特征
人脸识别
face recognition
dimension reduction
facial character
