Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (9): 1-12.DOI: 10.3778/j.issn.1002-8331.2001-0029

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Review of Occlusion Face Recognition Method

DONG Yanhua, ZHANG Shumei, ZHAO Junli   

  1. School of Data Science and Software Engineering, Qingdao University, Qingdao, Shandong 266071, China
  • Online:2020-05-01 Published:2020-04-29



  1. 青岛大学 数据科学与软件工程学院,山东 青岛 266071


In the process of image acquisition in real face recognition system, there are always uncertain factors such as illumination, attitude and occlusion, and the recognition effect of traditional face recognition method is not good. Therefore, effectively handling these problems and improving recognition efficiency are still difficulty in part of face recognition systems. This article reviews the traditional methods of face recognition, focusing on the processing methods of face occlusion, this paper makes a detailed review from three aspects:how to reconstruct the generation model of occlusion image, how to detect the discrimination model of occlusion position and robust feature extraction, their advantages, disadvantages and application occasions are compared, the existing problems and future research directions of occluded face recognition are summarized.

Key words: occlusion face recognition, subspace regression, occlusion dictionary, robust error coding, feature extraction



关键词: 遮挡人脸识别, 子空间回归, 遮挡字典, 鲁棒误差编码, 特征提取