J. Vleugels et al., "Physical Evaluation of an Anthropometric Shape Model of the Human Scalp", in Proc. of 6th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2015, pp. 161-167, https://doi.org/10.15221/15.161.
Title:
Physical Evaluation of an Anthropometric Shape Model of the Human Scalp
Authors:
Jochen VLEUGELS 1, Daniël LACKO 1,2, Guido DE BRUYNE 1, Toon HUYSMANS 2, Stijn VERWULGEN 1
1 Product Development, Faculty of Design Sciences, University of Antwerp, Antwerp, Belgium;
2 iMinds-Vision Lab, Department of Physics, Faculty of Science, Univ. of Antwerp, Antwerp, Belgium
Abstract:
Former research has shown that statistical shape models of the human head can be deduced from MRI scans and that 100 models from a random selection suffices to predict any other head shape within the target population (Western adults between 20 and 40 years old). Representativeness was however only verified theoretically using repeated random sub-sampling validation, that is, with respect to other MRI scans from the same database [http://www.loni.usc.edu/ICBM/]. In order to verify the representativeness and accuracy of the statistical shape model for the target population, a study was performed to compare the actual scalp shape of 14 participants with their predicted scalp shape. In this study, all of the participants were measured in several ways and the prediction of the statistical shape model was compared to the actual 3D shape. Moreover, the accuracy of the prediction of an individual's head by the statistical shape model based on only four current and easy to measure anthropometric values was calculated. It was found that the statistical shape model's prediction of a real person's head scalp based on the anthropometric values: head length, head width, head circumference and the arc length over the width of the head, was accurate up to 2.12 mm where the theoretical verification obtained an accuracy of 1.6 mm.
Details:
Full paper: 15.161.pdf
Proceedings: 3DBST 2015, 27-28 Oct. 2015, Lugano, Switzerland
Pages: 161-167
DOI: 10.15221/15.161
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