查询结果:   张红霞.基于自适应判别局部块对齐的人脸识别[J].计算机应用与软件,2014,31(8):164 - 167.
中文标题
基于自适应判别局部块对齐的人脸识别
发表栏目
人工智能与识别
摘要点击数
751
英文标题
FACE RECOGNITION BASED ON ADAPTIVE DISCRIMINATIVE LOCAL PATCH ALIGNMENT
作 者
张红霞 Zhang Hongxia
作者单位
河南农业职业学院电子信息工程系 河南 郑州 451450     
英文单位
Department of Electronic Information Engineering, Henan Vocational College of Agriculture, Zhengzhou 451450, Henan, China     
关键词
人脸识别 自适应局部判别分析 局部块排列 特征提取
Keywords
Face recognition Adaptive local discrimination analysis Local patch alignment Feature extraction
基金项目
国家自然科学基金项目(90820306)
作者资料
张红霞,讲师,主研领域:计算机应用,人工智能。 。
文章摘要
针对有监督学习下的人脸识别问题,提出自适应判别局部块对齐SALDA(Self adaptive Local Discriminative Alignment)算法用于提取人脸特征。SALDA算法利用各样本点所具有的独特的局部近邻点分布,通过同类近邻点自动构造各样本点的局部邻域;基于已构造的局部邻域,SALDA提出一个自适应局部判别分析模型,所得到的局部判别信息通过全局排列转化为统一的全局特征表示。SALDA 算法具有自适应构造局部邻域和自适应局部判别分析两个特点。通过在人脸数据库上的仿真实验,证明了所提出的SALDA算法在人脸识别上的有效性。
Abstract
A novel algorithm, named self-adaptive local discriminative alignment (SALDA) is presented in this paper for extracting face features in light of face recognition problem in supervised learning. SALDA algorithm makes use of unique local neighbour point distribution of each sample point to construct through similar neighbour points the local neighbourhood of each sample point; Based on the constructed local neighbourhood, SALDA builds up an adaptive local discriminant analysis model, the local discriminant information obtained will convert to the uniform global feature representation through global alignment. SALDA algorithm has two characteristics of adaptive local neighbourhood construction and adaptive local discriminant analysis. Through simulation experiment on face database we prove the effectiveness of SALDA algorithm proposed in face recognition.
下载PDF全文