Human eye positioning and human eye state recognition method

Abstract

The invention discloses an eye positioning and eye state recognizing method, wherein first setting an self-adaptive threshold value to pretreat a face image, according to the face geometry character, designing an eye classifier, positioning eye initially, for some edge images, based on the symmetry face and eye, accurately positioning eye, thereby providing a method for positioning face symmetry axis based on lip auxiliary positioning, then dividing one eye from a positioned eye binary picture, according to the black pixel character of pupil, judging the eye state. The inventive method has real-time property, with the application for different backgrounds, lights, rotation and bias angles, and face details or the like to position eye and recognize eye state.

Description

technical field [0001] The invention belongs to the application field of image processing and pattern recognition technology, in particular to a human eye positioning and human eye state recognition method. Background technique [0002] Face detection and localization of facial organs is one of the most challenging research topics in the field of computer vision. As the most prominent feature of the human face, the human eye can provide more reliable and important information than the mouth and nose, so it is often the necessary processing object in face recognition. Human eye recognition plays an important role in face image recognition applications, such as face recognition, facial expression analysis, posture determination, visual tracking, human-computer interaction, fatigue detection, etc.; With precise positioning, other features such as eyebrows, nose, and mouth can be positioned more accurately based on the potential distribution relationship; eye positioning can al...

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