微操作中操作者瞳孔的定位方法研究

摘要/Abstract

摘要： 针对微操作中操作者的眼球偏转小和眼睛图像灰度变化小的特点，提出一种瞳孔定位的快速算法，首先对眼睛图像提取特定的矩形区域，然后采用半精定位的方法缩小瞳孔所在区域，提高瞳孔区域的图像占比，最后利用Hough变换精确定位瞳孔。实验表明，该算法能快速、准确地定位瞳孔中心，适用于微操作中使用头戴式设备的瞳孔图像提取。

关键词: 微操作, 瞳孔定位, 对称性, Hough变换

Abstract: According to the small deflections of the operator's eyeball and the small variations of the eye image grayscale, a fast pupil extraction and localization algorithm was proposed. Firstly, in order to extract high quality pupil areas, the specific interesting areas were extracted. Then, the semi-precise positioning method was adopted to narrow the pupil areas and increase the proportion of the pupil areas in the eye images. Finally, Hough transform was used to locate pupil center. The experimental results show that the new algorithm extracts high quality pupil areas, locates the pupil center and is suitable for pupil image captured by head-mounted devices.

Key words: micro operation, pupil localization, symmetry, Hough transform

中图分类号:

TP242.2

陈国良, 马辉, 张钏钏. 微操作中操作者瞳孔的定位方法研究[J]. 中国机械工程.

CHEN Guoliang, MA Hui, ZHANG Chuanchuan. Research on Operator Pupil Localization Method in Micro Operations[J]. China Mechanical Engineering.

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