An autofocusing technique based on pupil tracking utilizing digital image processing is proposed.
提出了一种利用数字图像处理来进行瞳孔控制自动对焦的方法。
There are mainly three steps in pupil detection and tracking: face detection, pupil detection and pupil tracking.
瞳孔检测与跟踪可分为三个阶段：人脸检测、瞳孔检测、瞳孔跟踪。
By comparing the conventional appearance based bright pupil method, this method is able to improve tracking accuracy and overcome various limitations.
与传统的基于瞳孔亮度的方法比较，此方法不仅克服了各种条件的限制，而且提高了跟踪的正确率。
This paper detects eye pupil center in the infrared images using the edge detection and ellipse fitting, to support the research of eye-tracking system in the future.
论文利用边缘检测和椭圆拟合技术，实现了视线跟踪系统中，红外人眼图像瞳孔中心检测的功能。
This paper detects eye pupil center in the infrared images using the edge detection and ellipse fitting, to support the research of eye-tracking system in the future.
论文利用边缘检测和椭圆拟合技术，实现了视线跟踪系统中，红外人眼图像瞳孔中心检测的功能。
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