Automatic Eye Detection and Reflection Separation within Glasses

• Main Authors: Yu-Sheng Lin, 林祐聖
• Other Authors: Jyh-Yeong Chang
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/45673049838875420176

碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === Eye detection has been applied to many applications, for instance, human or faces recognition, eye gaze detection, drowsiness detection, and so on. However, eye detection often misdiagnoses for the interference caused by glasses when one wears spectacles. This thesis addresses an algorithm to automatically detect the eye location from a given face image and separate reflections within glasses while one has worn glasses. Our system consists of three modules: face segmentation, optic-area detection, and the separating of glasses reflections while one has worn glasses. First, we use the universal skin-color map to detect the face regions, which can ensure sufficient adaptability to ambient lighting conditions. Then, we proposed a novel method to detect the eye region and separate the reflection within glasses based on edge detection, corner detection, and anisotropic diffusion transform. The principle of separating reflection is based on that the correct decomposition of the reflection image whose summation of corners and edges is the smallest among all possible decompositions. The simulation and results demonstrate that the principle of separating reflection can be applied to the reflection within glasses effectively and result in good reflection separation.