摘要
Abstract
In complex illumination, the uneven distribution of light on the face may lead to bright, dark or re-flection on part of the face image, which then subsequently brings about great impact on eye location. In order to improve the positioning accuracy of the human eye under complex illumination, the paper proposes a method which in the first place locates the face and then the eyes. The face can be detected based on Haar feature of Ada boosted cascade classifier. The face region is enhanced by the adaptive continuous mean quantization transform image enhancement algorithm. Then the eyes can be positioned by combining with the connected domain analysis. The results show that the proposed method has high detection speed and good results.关键词
复杂光照/人眼定位/Ada Boost/自适应连续均值量化变换Key words
Complex Illumination/Eye Location/Ada Boost/Self-Adaptive Successive Mean Quantization Transform分类
信息技术与安全科学
