Face recognition based on multiple facial features

Rui Liao, S. Li
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引用次数: 29

Abstract

An automatic face recognition system based on multiple facial features is described. Each facial feature is represented by a Gabor-based complex vector and is localized by an automatic facial feature detection scheme. Two face recognition approaches, named two-layer nearest neighbor (TLNN) and modular nearest feature line (MNFL) respectively, are proposed. Both TLNN and MNFL are based on the multiple facial features detected for each image and their superiority in face recognition is demonstrated.
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基于多种面部特征的人脸识别
介绍了一种基于多种面部特征的自动人脸识别系统。每个面部特征由基于gabor的复向量表示,并通过自动面部特征检测方案进行定位。提出了两种人脸识别方法,分别称为两层最近邻(TLNN)和模块化最近邻特征线(MNFL)。TLNN和MNFL都是基于对每张图像检测到的多个面部特征,并证明了它们在人脸识别方面的优越性。
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