计算机应用与软件2013，Vol.30Issue(4)：77-80,4.DOI:10.3969/j.issn.1000-386x.2013.04.022
一种用于人脸识别的监督局部线性嵌入算法及其改进
A SUPERVISED LOCALLY LINEAR EMBEDDING ALGORITHM FOR FACE RECOGNITION AND ITS IMPROVEMENT
摘要
Abstract
In order to improve the recognition rate of face recognition algorithm, a novel face recognition method based on supervised locally linear embedding is proposed. The improvement on locally linear embedding ( LLE) algorithm is made: ① While calculating the low-dimensional embedding, the sparse matrix M is to be added a unit matrix first, then its eigenvalues and eigenvectors is calculated, this well solves the problem of matrix singular; ② For the defects of non-supervision the LLE algorithm has, the data category information is increased when constructing the neighbourhood, and the adjacent neighbours of the sample is discriminated according to their category. The experimental results on Yale and ORL face database demonstrate that the proposed method can effectively improve the performance of face recognition.关键词
人脸识别/流形学习/局部线性嵌入/监督局部线性嵌入Key words
Face recognition/ Manifold learning/ Locally linear embedding/ Supervised locally linear embedding分类
信息技术与安全科学引用本文复制引用
沈杰,王正群,王明辉,刘解放..一种用于人脸识别的监督局部线性嵌入算法及其改进[J].计算机应用与软件,2013,30(4):77-80,4.基金项目
国家自然科学基金项目(60875004) （60875004）
江苏省自然科学基金项目(BK2009184) （BK2009184）
江苏省高校自然科学基金项目(10KJB510027). （10KJB510027）
