一种基于立体视觉的视线估计方法

针对现有视线估计方法存在的主要问题:限制使用者头部运动和个体标定问题,本文提出一种基于立体视觉的视线估计方法.建立了一种双相机双光源条件下计算眼睛光轴的five-spot模型,本模型估计眼球光轴三维方向只需要一次直线求交运算.以此为基础形成一种新的视线估计方法,本方法实现了自然头动视线估计,并且简化用户标定为单点标定.该方法的各个环节都满足实时性要求,为面向人机交互的视线追踪系统提供了有效的解决方案.

A Novel Gaze Estimation Method Based on Stereo Vision

For main problems of the existing gaze estimation methods which are that they restrict the head movement of users and the issue of individual calibration,this paper presents a gaze estimation method based on stereo vision.A five-spot model for the eye optical axis on the condition of two cameras and two light sources is set up.The model estimates the three dimensional orientation of the eye optical axis,which only needs one straight line intersection operation.On this basis,we forms a new gaze estimation method.This method allows natural head movement and minimizes the calibration procedure to only one time for a new individual.All aspects of this method meet the real-time requirement,which provides an effective solution for human-computer interaction gaze tracking system.