基于susan算子的瞳孔内缩定位算法设计

Song Kai, Liu Zhen-huan, S. Hang, Zhou Jing, Guo Chun-hong
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引用次数: 1

摘要

在眼睛识别系统中展开了对眼睛定位、跟踪和眼睛状态的研究。在改进传统Susan算子的基础上,设计了眼部精确定位的角提取算子。根据外部环境对眼内角无干扰的特点,提取模板的小角进行眼动追踪。该设计算子能够适应复杂背景的变化,具有较高的计算效率。在vc++平台上进行实验,结果表明,该方法对标准正面人脸的检测正确率达到95%,对监控图像“眼-脸”窗口位置的检测正确率达到90%。
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Notice of RetractionInside canthus location algorithm design based on susan operator
The research is unfolded on eye location, tracking and study the state of the eye in the eye recognition system. By means of improving traditional Susan operator, we design the corner extraction operator of precise positioning of the eye. According to the characteristics of external environment being no interference to the inner corner of the eye, the research extracted a small corner of the template for the eye tracking. The design operator can adapt to variation in complex background and have higher computational efficiency. According to VC + + platform experiment, the results show that detection accuracy rate of standard frontal face comes to 95%, and of monitoring image detection “eyes - face” window position comes to 90%.
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