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Modelling human hard palate shape with Bézier curves

机译:用贝塞尔曲线模拟人的硬pa形状

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摘要

People vary at most levels, from the molecular to the cognitive, and the shape of the hard palate (the bony roof of the mouth) is no exception. The patterns of variation in the hard palate are important for the forensic sciences and (palaeo)anthropology, and might also play a role in speech production, both in pathological cases and normal variation. Here we describe a method based on Bézier curves, whose main aim is to generate possible shapes of the hard palate in humans for use in computer simulations of speech production and language evolution. Moreover, our method can also capture existing patterns of variation using few and easy-to-interpret parameters, and fits actual data obtained from MRI traces very well with as little as two or three free parameters. When compared to the widely-used Principal Component Analysis (PCA), our method fits actual data slightly worse for the same number of degrees of freedom. However, it is much better at generating new shapes without requiring a calibration sample, its parameters have clearer interpretations, and their ranges are grounded in geometrical considerations.
机译:从分子水平到认知水平,人们最多都在变化,硬pa的形状(嘴的骨顶)也不例外。硬pa的变化模式对于法医学和(古)人类学很重要,并且在病理情况和正常变化中也可能在语音产生中起作用。在这里,我们描述了一种基于贝塞尔曲线的方法,其主要目的是生成人类可能的硬pa形状,以用于语音产生和语言进化的计算机模拟。此外,我们的方法还可以使用少量且易于理解的参数来捕获现有的变化模式,并且只需很少的两个或三个自由参数就可以很好地拟合从MRI迹线获得的实际数据。与广泛使用的主成分分析(PCA)相比,对于相同数量的自由度,我们的方法对实际数据的拟合稍差。但是,在不需要校准样品的情况下生成新形状要好得多,其参数具有更清晰的解释,并且它们的范围基于几何考虑。

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