Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88039
Title: Modelling human hard palate shape with Bézier curves
Authors: Janssen, Rick
Moisik, Scott Reid
Dediu, Dan
Keywords: Human
Hard Palate
Issue Date: 2018
Source: Janssen, R., Moisik, S. R., & Dediu, D. (2018). Modelling human hard palate shape with Bézier curves. PLOS ONE, 13(2), e0191557-.
Series/Report no.: PLOS ONE
Abstract: 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.
URI: https://hdl.handle.net/10356/88039
http://hdl.handle.net/10220/44518
DOI: http://dx.doi.org/10.1371/journal.pone.0191557
Rights: © 2018 Janssen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Journal Articles

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