YANG Wen-lu, ZHENG Jia-yue, ZHAN Chan, et al. Pupil localization algorithm based on Kinect sensor[J]. 2015, 34(2): 125-128. DOI: 10.13873/J.1000-9787(2015)02-0125-04.
基于Kinect传感器的瞳孔定位算法
摘要
传统算法通常需在头部稳定或光线明亮的情况下进行
较难在自然条件下对多姿态头部运动时的人眼进行跟踪。针对该问题
提出基于Kinect传感器的瞳孔定位算法
使用三维主动表观模型(AAM)对眼轮廓匹配得到眼部特征点
粗定位分割出眼睛
再对瞳孔进行精确定位。实验表明:在多姿态与头部带有遮挡物的情况下仍能较好地跟踪和定位人眼。
Abstract
Traditional pupil localization algorithm can only be applied while head is stable or lighting condition is bright
so it is difficult to track human eye in multipose head movement. Aiming at this problem
propose pupil localization algorithm based on Kinect sensor
establish a 3D active appearance model( AAM) to match bounding of eyes to obtain feature points
coarse positioning is carried out to segment eye
then pupil accurate positioning is carried out. Experimental results show that the proposed method can still track and locate human eye in condition of multipose and head is sheltered.