基于图象集似然度的人脸识别  

Face Recognition Based on the Similarity of Image Sets

作　　者：王耀明[1] 王仲国 沈毅俊[1] 

机构地区：[1]上海师范大学理工信息学院,上海200234 [2]上海市奉贤县电视大学,上海201400

出　　处：《计算机工程》2001年第7期113-114,共2页Computer Engineering

摘　　要：根据人的认识规律,提出了基于图象集的似然度人脸识别方法。该方法把图象集中的各幅图象的信息矩阵的奇异值向量作为矩阵中的一列而构成的图象集特征矩阵。然后,把测试样本的图象集特征矩阵与图象集库中的训练样本图象集的特征矩阵相比较找出它们的相似程度——图象集的似然度,从而进行人脸图象识别。This paper puts forward a new approach of face recognition based on the similarity of image sets in accordance with the cognitive law. This approach considers the singular vectors of information matrix of each image in the image set as columns of the characteristic matrix of the image set. Then, itcom—pares the characteristic matrix of the testing samples with that of the training samples in the image sets base, to find out the degree of their resemblance —the similarity of image sets. In this way, the face recognition can be carried out.

关 键 词：最小二乘距离 图象集似然度 人脸识别 图象识别 图象集 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]