CAJ | 학술논문

针对单标记图像人脸识别问题，该文提出一种基于子空间类标传播和正则判别分析的半监督维数约简方法。首先，基于子空间假设设计了一种类标传播方法，将类标信息传播到无类标样本上。然后，在传播得到的带类标数据集上使用正则判别分析对数据进行维数约简。最后，在低维空间使用最近邻方法对测试人脸完成识别。在3个公共人脸数据库CMU PIE, Extended Yale B和AR上的实验，验证了该方法的可行性和有效性。
침대단표기도상인검식별문제，해문제출일충기우자공간류표전파화정칙판별분석적반감독유수약간방법。수선，기우자공간가설설계료일충류표전파방법，장류표신식전파도무류표양본상。연후，재전파득도적대류표수거집상사용정칙판별분석대수거진행유수약간。최후，재저유공간사용최근린방법대측시인검완성식별。재3개공공인검수거고CMU PIE, Extended Yale B화AR상적실험，험증료해방법적가행성화유효성。
To tackle the problem of single labeled image person face recognition, a subspace label propagation and regularized discriminant analysis based semi-supervised dimensionality reduction method is proposed in this paper. First, a label propagation method based on subspace assumption is designed to propagate the label information from labeled data to unlabeled data. Then, based on the propagated labeled dataset, regularized discriminant analysis is used to conduct dimensionality reduction. Finally, the recognition of testing face is completed in low dimensional space using nearest neighbor classifier. The extensive experiments on three publicly available face databases CMU PIE, Extended Yale B, and AR validate the feasibility and effectiveness of the proposed method.