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Construction and visualisation of three-dimensional facial statistics.

机译:三维面部统计的构建和可视化。

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摘要

This paper presents a new method for the construction of three-dimensional (3D) probabilistic facial averages and demonstrates the potential for applications in clinical craniofacial research and patient assessment. Averages are constructed from a database of registered laser-range scans and photographic images using feature based image warping. Facial features are extracted using a template of connected contours, adapted to each subject interactively using snakes. Each subject's images are warped to the average template shape and the mean depth, colour and covariance matrix is found at each point. Statistical comparison of individuals with an average or between two averages is visualised by converting the probabilities to a coloured texture map.
机译:本文提出了一种构建三维(3D)概率面部平均值的新方法,并展示了在临床颅面研究和患者评估中的应用潜力。使用基于特征的图像变形从注册的激光范围扫描和摄影图像的数据库中构建平均值。使用连接的轮廓模板提取面部特征,并使用蛇交互地适应每个对象。每个对象的图像都变形为平均模板形状,并且在每个点处找到平均深度,颜色和协方差矩阵。通过将概率转换为彩色纹理图,可以将具有平均值或两个平均值之间的个体的统计比较可视化。

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