Kang Jeffrey J, Eizenman Moshe, Guestrin Elias D, Eizenman Erez
Department of Electrical and Computer Engineering, and the Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
IEEE Trans Biomed Eng. 2008 Sep;55(9):2293-302. doi: 10.1109/TBME.2008.919722.
The cross-ratios method for point-of-gaze (PoG) estimation uses the invariance property of cross-ratios in projective transformations. The inherent causes of the subject-dependent PoG estimation bias exhibited by this method have not been well characterized in the literature. Using a model of the eye and the components of a system (camera, light sources) that estimates PoG, a theoretical framework for the cross-ratios method is developed. The analysis of the cross-ratios method within this framework shows that the subject-dependent estimation bias is caused mainly by: 1) the angular deviation of the visual axis from the optic axis and 2) the fact that the virtual image of the pupil center is not coplanar with the virtual images of the light sources that illuminate the eye (corneal reflections). The theoretical framework provides a closed-form analytical expression that predicts the estimation bias as a function of subject-specific eye parameters. The theoretical framework also provides a clear physical interpretation for an existing empirically derived two-step procedure that compensates for the estimation bias and shows that the first step of this procedure is equivalent to moving the corneal reflections to a new plane that minimizes the distance from this plane to the virtual image of the pupil center.
用于注视点(PoG)估计的交比方法利用了射影变换中交比的不变性。该方法所表现出的与个体相关的PoG估计偏差的内在原因在文献中尚未得到很好的描述。通过使用眼睛模型以及估计PoG的系统组件(相机、光源),建立了交比方法的理论框架。在此框架内对交比方法的分析表明,与个体相关的估计偏差主要由以下原因引起:1)视轴与光轴的角度偏差;2)瞳孔中心的虚像与照亮眼睛的光源(角膜反射)的虚像不共面这一事实。该理论框架提供了一个封闭形式的解析表达式,可根据个体特定的眼睛参数预测估计偏差。该理论框架还为现有的用于补偿估计偏差的经验性两步程序提供了清晰的物理解释,并表明该程序的第一步等同于将角膜反射移动到一个新平面,该平面使从该平面到瞳孔中心虚像的距离最小化。