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From an Elliptical Fourier Representation of a Shape Boundary to a Curvature Representation with Applications Using the Cranial Outline from Archaic Homo Species

机译:从使用颅骨轮廓从古代冠状物种的颅骨轮廓的椭圆形傅立叶表示到曲率表示

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The elliptical Fourier representation provides a powerful way to mathematically represent a shape boundary, with the goodness-of-fit only limited by the number of points used to represent the boundary and the number of terms included in the elliptical Fourier representation. The elliptical Fourier representation, though, has indeterminacies based on: (1) the choice of a Cartesian coordinate system for measuring boundary point locations, (2) a potentially infinite number of parameters for the elliptical Fourier representation, and, (3) parameters lacking meaningful biological interpretation~3. Methods used to reduce the dimensionality of the parameter space such as Principal Component Analysis (PCA) are not satisfactory as there is no assurance that just the first few principal components are biologically meaningful. One may, however, resolve the coordinate problem, the dimensionality problem, and the lack of straight-forward biological interpretation by the transformation of the elliptical Fourier representation into a curvature and (in the case of 3-D) torque function that uses a single parameter, s, the arc length distance of a boundary point from a fixed reference point (which may be a single landmark, homologous across different shapes to be compared) and a functional representation based on the curvature and torque of the boundary in 3-D at distance s from the reference point. In this paper only 2-D outlines are evaluated. In 2-D, the functional representation is determined by just the curvature of the boundary at distance s from the reference point. Unlike the parameters in the elliptical Fourier representation, the curvature of the boundary is biologically meaningful and allows for the introduction of landmarks such as the location of the maximum curvature along the boundary. Examples of this procedure, using the internal cranial (endocranial) outline from a number of archaic Homo species, are discussed.
机译:椭圆傅里叶表示提供了一种强大的方式来数学方式表示形状边界,具有拟合的优点仅受用于表示边界的点数和包括在椭圆形傅里叶表示中的术语的数量。但是,椭圆傅立叶表示具有不确定性的基础:(1)选择用于测量边界点位置的笛卡尔坐标系,(2)椭圆傅里叶表示的可能无限数量的参数,以及(3)缺少参数有意义的生物解释〜3。用于减少参数空间的维度(如主成分分析(PCA)的维度的方法并不令人满意,因为没有保证,只有前几个主要成分在生物学上有意义。然而,可以解决坐标问题,维度问题,并通过将椭圆傅立叶表示转换成曲率和(在3-d的情况下的扭矩函数中使用单一的扭矩函数参数S,来自固定参考点的边界点的电弧长度距离(其可以是单个地标,横跨不同形状的同源)和基于3-D中边界的曲率和扭矩的功能表示在来自参考点的距离s处。本文只评估了2-D轮廓。在2-D中,功能表示通过仅在来自参考点的距离S处的边界的曲率来确定。与椭圆形傅立叶表示中的参数不同,边界的曲率是生物学意义的,并且允许引入沿边界沿着边界的最大曲率的位置的地标。讨论了使用来自许多古代均匀物种的内部颅骨(Endocranial)轮廓的该过程的实例。

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