期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：3
页码：285-291
出版社：Shri Pannalal Research Institute of Technolgy
摘要：This paper provides an idea about defective binocular vision which causes Vision loss in the turned eye. The eyes need to be straight for the brain to combine the images seen by the two eyes into a single picture. This gives us 3 dimensional visions, which allows us to judge depth. If an eye turns in, it can interrupt the total field of vision. Despite active research and significant progress in the last few years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, and variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification. In this paper, we have proposed an overview on real time access control detection system and their classification with some drawback and basic assumption for squint eye detection. This paper reviews current progress and state of the art in video-based eye detection and tracking in order to identify promising techniques as well as issues to be further addressed. We present a detailed review of recent eye models and techniques for eye detection and tracking. We also survey methods for gaze estimation and compare them based on their geometric properties and reported accuracies. This review shows that, despite their apparent simplicity, the development of a general eye detection technique involves addressing many challenges, requires further theoretical developments, and is consequently of interest to many other domains problems in computer vision and beyond[1] [2].
