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Face Recognition: A Literature Survey

机译:人脸识别:文献调查

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As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies after 30 years of research. Even though current machine recognition systems have reached a certain level of maturity, their success is limited by the conditions imposed by many real applications. For example, recognition of face images acquired in an outdoor environment with changes in illumination and/or pose remains a largely unsolved problem. In other words, current systems are still far away from the capability of the human perception system. This paper provides an up-to-date critical survey of still- and video-based face recognition research. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights into the studies of machine recognition of faces. To provide a comprehensive survey, we not only categorize existing recognition techniques but also present detailed descriptions of representative methods within each category. In addition, relevant topics such as psychophysical studies, system evaluation, and issues of illumination and pose variation are covered.
机译:作为图像分析和理解的最成功应用之一,人脸识别最近受到了极大的关注,尤其是在过去的几年中。造成这种趋势的原因至少有两个:第一个是商业和执法应用的广泛范围,第二个是经过30年研究的可行技术的可用性。即使当前的机器识别系统已经达到一定的成熟度,但其成功仍然受到许多实际应用所施加条件的限制。例如,在户外环境中随着照明和/或姿势的变化而识别的面部图像的识别仍然是很大程度上未解决的问题。换句话说,当前的系统距离人类感知系统的能力还很远。本文提供了基于静止和视频的面部识别研究的最新关键调查。我们撰写此调查论文的动机主要有两种:第一是对现有文献进行最新回顾,第二是为人脸机器识别研究提供一些见识。为了提供全面的调查,我们不仅对现有的识别技术进行了分类,还对每个类别中代表方法的详细描述。此外,还涵盖了相关主题,例如心理物理研究,系统评估以及照明和姿势变化问题。

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