单训练样本人脸识别技术综述
首发时间:2007-11-23
摘要:近年来,随着人脸识别技术的不断向前发展,人脸识别领域出现了一个新的研究问题——单样本人脸识别问题。单样本人脸识别技术,顾名思义,就是在每类(人)只有一个训练样本的情况下对未知测试样本进行识别的技术。本文对近年来国内外出现的单样本人脸识别技术和方法进行了分类,分析了各种方法的优缺点,还分析了单样本人脸识别技术所面临的挑战,最后对未来单样本人脸识别技术的发展方向进行了展望。
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A Survey for Face Recognition with a Single Training Sample per Person
Abstract:Recently, along with the development of the technology of face recognition, a new research problem——face recognition with a single sample per person. Face recognition with a single sample per person, as the name suggests, is to identify an unknown testing sample under the circumstance that every subject in the training sample set has only a single sample. This paper categorized the techniques and methods emerging both domestically and abroad in recent years for face recognition with a single sample, analyzed the strengths and shortcomings of every method, also analyzed the challenges it faces, at last predicted the future direction for face recognition with a single sample.
Keywords: Face Recognition a Single Training Sample Feature Extraction
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No.1652716986311958****
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