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A deformable model of the human iris driven by non-linear least-squares minimisation

机译:由非线性最小二乘最小化驱动的人虹膜可变形模型

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This paper describes a deformable model of the human iris which forms part of a system for accurate off-line measurement of binocular eye movements, particularly cyclotorsion (torsion), from video image sequences. At least two existing systems measure torsion from infrared video images by pupil tracking followed by cross-correlation of band-pass filtered iris sectors. Unfortunately, pupil expansion and contraction reduces the accuracy of this method. In addition, infrared iris images typically contain very little texture, so correlation can be unreliable. A five-parameter deformable model of the iris was therefore developed for analysing images taken in visible light. This model can translate (horizontal and vertical eye motion), rotate (torsion) and scale both uniformly and radially (pupil changes). Torsion measurements obtained with the model are repeatable and accurate to within 0.1/spl deg/; this performance is illustrated by analysing binocular torsion during constant fixation on a stationary target.
机译:本文描述了人虹膜的可变形模型,其形成用于精确离线测量双目眼运动的一部分,特别是来自视频图像序列的互联网运动,特别是环状(扭转)。至少有两个现有系统通过瞳孔跟踪测量从红外视频图像的扭转,然后通过带通滤波的虹膜扇区的互相关。不幸的是,瞳孔膨胀和收缩降低了这种方法的准确性。此外,红外虹膜图像通常包含极少的纹理,因此相关性可能是不可靠的。因此开发了一种用于分析可见光拍摄的图像的虹膜的五参数可变形模型。该模型可以转换(水平和垂直的眼睛运动),旋转(扭转)和均匀且径向(瞳孔变化)旋转和缩放)。使用该模型获得的扭转测量是可重复的,并且在0.1 / SPL DEG /;通过在固定目标上分析恒定固定过程中的双目扭转来说明这种性能。

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