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Meticulously detailed eye region model and its application to analysis of facial images

机译:精细的眼睛区域模型及其在面部图像分析中的应用

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We propose a system that is capable of detailed analysis of eye region images in terms of the position of the iris, degree of eyelid opening, and the shape, complexity, and texture of the eyelids. The system uses a generative eye region model that parameterizes the fine structure and motion of an eye. The structure parameters represent structural individuality of the eye, including the size and color of the iris, the width, boldness, and complexity of the eyelids, the width of the bulge below the eye, and the width of the illumination reflection on the bulge. The motion parameters represent movement of the eye, including the up-down position of the upper and lower eyelids and the 2D position of the iris. The system first registers the eye model to the input in a particular frame and individualizes it by adjusting the structure parameters. The system then tracks motion of the eye by estimating the motion parameters across the entire image sequence. Combined with image stabilization to compensate for appearance changes due to head motion, the system achieves accurate registration and motion recovery of eyes.
机译:我们提出了一种系统,该系统能够根据虹膜的位置,眼睑张开的程度以及眼睑的形状,复杂性和质地来详细分析眼部区域图像。该系统使用生成眼区域模型,该模型对眼睛的精细结构和运动进行参数化。结构参数代表眼睛的结构个性,包括虹膜的大小和颜色,眼睑的宽度,粗体和复杂性,眼睛下方凸起的宽度以及凸起上的照明反射的宽度。运动参数代表眼睛的运动,包括上下眼睑的上下位置以及虹膜的2D位置。系统首先将眼睛模型注册到特定帧中的输入,并通过调整结构参数对其进行个性化。然后,系统通过估计整个图像序列上的运动参数来跟踪眼睛的运动。该系统与图像稳定功能相结合,可补偿由于头部运动而引起的外观变化,该系统可实现准确的定位和眼睛的运动恢复。

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