视线追踪系统中视线估计方法研究  

Gaze estimation in a gaze tracking system

作　　者：张闯[1] 迟健男[1] 张朝晖[1] 高小亮[1] 胡涛[1] 王志良[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《中国科学：信息科学》2011年第5期580-591,共12页Scientia Sinica(Informationis)

基　　金：国家自然科学基金(批准号:60574090);国家高技术研究发展计划(批准号:2007AA01Z160)资助项目

摘　　要：文中提出一种基于瞳孔—角膜反射(PCCR)的视线估计方法(GEMHSSO).针对现有PCCR存在的主要问题:限制使用者头部运动和个体标定问题,提出了一种单相机单光源条件下头部位置的补偿方法,实现了头部位置变化对瞳孔角膜向量影响的解析补偿,并建立一种个体差异的转化模型,进而简化标定过程为单点标定.以此为基础形成一种新的视线估计方法,本方法使精确视线估计的最小硬件要求降低到单相机(未标定)单光源,既不需要繁杂的系统标定,又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.This article presents a gaze estimation method （GEMHSSO） based on the pupil center cornea reflection （PCCR） technique. Existing PCCR systems suffer from several problems, including the restriction of users’ head movement, and the requirement of individual calibration. This paper presents a head position compensation model using a single camera and a single light source, which realizes the analytic compensation of head motion effects on pupil-glint vectors. We then present a transformation model for individual differences to simplify the calibration process to a one-point calibration. On this basis, we establish a novel gaze estimation method that reduces the minimum hardware requirements for accurate estimation to a single camera （not calibrated） and a single light source. Without the need for a complex system, our method has the ability to estimate gaze during natural head movement, and to substantially simplify user calibration. Each step of the proposed method in this paper makes real-time implementation possible, which provides an effective solution for eye-gaze tracking in human-computer interaction systems.

关 键 词：视线追踪 视线估计 瞳孔-角膜反射(PCCR)技术 头动补偿 个体标定 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]