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Shape Modeling: From Linear Anthropometry to Surface Model

Authors:
Ameersing Luximon
Huang Chao

Keywords: anthropometric; surface antropometry; recursive regression equation.

Abstract:
Due to technological innovations, there is a shift from linear anthropometric measures to surface model. This is essential since body surface information is needed in medical, archaeological, forensic and many other disciplines. As a result, there is a need to shift from linear anthropometry tables to surface anthropometry databases. This study provides a general modelling technique, to convert linear anthropometry to complex surface anthropometry using recursive regression equations technique (RRET) and scaling technique. In order to build the model, scanned data of a 3D body part for a selected population is needed. After scanning, the parts are aligned along a reference axis before extracting cross-sections perpendicular to the reference axis. Using the cross sections, a ‘standard’ part is computed based on an averaging method. The ‘standard’ part provides the shape information of a given population and thus it can be stored in a database for shape prediction. Using the recursive regression equations technique, regression equations are constructed based on selected anthropometric measures of each cross section. During 3D part shape prediction, only few anthropometric measures are used and the anthropometric measures of all the other cross sections are predicted recursively using the equations developed from RRET. Eventually, the predicted measures are used to scale the ‘standard’ part in order to generate a predicted 3D shape of the selected part. Previous studies published by our team on foot shape modelling have given accurate results of about 2mm. Thus, depending on different applications, this technique can be applied to generate 3D shape from anthropometry and can be applied to reconstructive surgery, forensic, anthropology, design, psychology and other fields.

Pages: 420 to 425

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-250-9

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013