Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (15): 24-31.DOI: 10.3778/j.issn.1002-8331.1903-0154

Previous Articles     Next Articles

Research on Key Technologies of Facial-Assisted Diagnosis

LIANG Yaqi, SONG Wen’ai, YANG Jijiang, WANG Qing, WANG Xingyue, LEI Yi   

  1. 1.College of Software, North University of China, Taiyuan 030000, China
    2.Research Institute of Information Technology, Tsinghua University, Beijing 100084, China
  • Online:2019-08-01 Published:2019-07-26



  1. 1.中北大学 软件学院,太原 030000
    2.清华大学 信息技术研究院,北京 100084

Abstract: Certain diagnosis and screening of disease can make auxiliary judgements with the help of the patient’s facial changes. At present, the application of face aided diagnosis technology in the field of medical auxiliary diagnosis is increasing. The performance of some diseases is no less than the empirical diagnosis of medical workers. Face assisted diagnosis systems can help to carry out large-scale screening of disease, accelerate disease staging, and shorten diagnosis time, improve the efficiency of doctors, for the benifit of patients. This paper reviews the key of facial-assisted diagnosis, such as face detection, face feature extraction, face landmark recognition, face correction, face image enhancement, classifier selection, and look forward to the development prospects of face aided diagnosis.

Key words: face aided diagnosis, face detection, face feature extraction, face landmark detection

摘要: 某些疾病的筛查和诊断可以借助患者的面部变化来进行辅助性判断。目前,人脸辅助诊断技术在医学辅助诊断领域的应用不断增加,其在某些疾病中的表现已经不低于医学工作者的经验性诊断。人脸辅助诊断系统可以帮助对疾病进行大规模筛查,判断疾病分期,最终缩短确诊时间,提高医生工作效率,造福患者。回顾了人脸检测、人脸特征提取、人脸关键点识别、人脸矫正、人脸图像增强、分类器选择等人脸辅助诊断关键技术,展望了人脸辅助诊断的发展前景。

关键词: 人脸辅助诊断, 人脸检测, 人脸特征提取, 人脸关键点检测