人眼检测技术研究进展

Survey of Eye Detection

基于计算机视觉的人眼检测研究是人脸识别和视线追踪等技术的关键,具有重大的应用价值,并且对模式识别研究的发展有重要的理论意义。本文通过回顾人眼检测近20年来的主要研究成果,分别根据算法使用的模式识别原理及检测结果提出两种全新的人眼检测分类方法;然后按检测结果分类阐述了各种人眼检测方法的基本思想及其优缺点,并尝试通过不同的分类方法从不同的角度揭示各类算法的本质;最后分析总结了人眼检测研究的发展现状,展望了其应用前景及发展趋势。

Research on eye detection based on computer vision is very critical to face recognition and gaze tracking.Furthermore,it is very important not only to related applications but also to the development of pattern recognition.Research findings on eye detection in recent 20 years are reviewed.Firstly,the existing classification methods are discussed and two new classification methods are proposed by recognition principle and detection results.Then,according to the detection results,the basic ideas,the advantages and the disadvantages of the eye detection methods are clarified.Meanwhile,the essence of all kinds of methods is tried to be revealed from different views and by different classification methods.Finally,the current situation of the eye detection research is analyzed and summarized,and the application prospect and development trend are discussed.