现代电子技术Issue(3)：23-26,4.DOI:10.16652/j.issn.1004-373x.2016.03.006
基于特征点邻域SIFT描述子的人脸识别
Face recognition based on SIFT descriptor in feature point neighbourhood
摘要
Abstract
The scale invariant feature transform(SIFT)in face recognition algorithm is one of the important descriptive ap⁃proaches of the face local features. In traditional SIFT method,because the coordinates of the feature points are determined ac⁃cording to the local extreme point of Gaussian difference space,which leads to difficult match of the feature point. The face is calibrated by local binary feature based on linear regression to determine the location of the feature point which is meaningful to the face. The face local feature is described by the invariant characteristic of SIFT feature descriptor,which can effectively im⁃prove the face recognition speed and recognition rate. The region weighing for feature point has certain robustness to the face pos⁃ture change and face angle deflection.关键词
局部二值特征/线性回归/特征点/SIFT特征描述子Key words
local binary feature/linear regression/feature point/SIFT feature descriptor分类
信息技术与安全科学引用本文复制引用
李文洋,陈云,华继钊..基于特征点邻域SIFT描述子的人脸识别[J].现代电子技术,2016,(3):23-26,4.基金项目
国家自然科学基金项目 （）
