This paper describes a feature extraction and gaze estimation software, named Pistol that can be used with Pupil Invisible projects and other eye trackers in the future. In offline mode, our software extracts multiple features from the eye including, the pupil and iris ellipse, eye aperture, pupil vector, iris vector, eye movement types from pupil and iris velocities, marker detection, marker distance, 2D gaze estimation for the pupil center, iris center, pupil vector, and iris vector using Levenberg Marquart fitting and neural networks. The gaze signal is computed in 2D for each eye and each feature separately and for both eyes in 3D also for each feature separately. We hope this software helps other researchers to extract state-of-the-art features for their research out of their recordings.
翻译:本文描述了名为Pistol 的地貌提取和视觉估计软件, 名为Pistol, 今后可用于学生隐形项目和其他眼睛跟踪器。 在离线模式下, 我们的软件从眼睛中提取多种特征, 包括学生和iris 椭圆、 眼睛孔径、 学生矢量、 iris 矢量、 标记检测、 标记距离、 学生中心、 iris 中心、 学生矢量 和 iris 矢量估计, 使用 Levenberg Marquart 安装和神经网络 。 视觉信号以 2D 计算, 每个眼睛和每个特性分别计算, 双眼 3D 单独计算 。 我们希望这个软件能帮助其他研究人员从他们的记录中提取最先进的特征。