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人脸图像信息可用性影响因素的研究分析 被引量:1

Image Validity Analysis for Face Recognition
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摘要 传统的图像质量评估技术通常用于判断图像的整体质量,而不能有效地判断人脸图像信息的可用性。而人脸图像信息可用性评估在安防监控中具有很强的应用价值。提出了人脸图像信息可用性的概念,并提出了通过人脸识别算法来评估该可用性的度量方法。通过采用PCA人脸识别算法模拟仿真,定量地从原理上研究了影响人脸图像信息有用性的关键因素,并通过实验进行了验证。 Traditional IQA (Image Quality Assessment) is used to do assessment on a general level, but can't be used for face im- age quality assessment. However, assessment of face quality is needed in many applications such as surveillance video. The validity of face image is defined, and a method to assess face image using face recognition algorithm is proposed. And the key factors that affecting validity of face image are analyzed through experiment of PCA recognition algorithm in this paper.
出处 《电视技术》 北大核心 2015年第7期86-90,共5页 Video Engineering
基金 上海市2014年度"科技创新行动计划"高新技术领域项目
关键词 人脸图像 PCA识别 质量评估 face image PCA recognition quality assessment
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参考文献10

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