Authors: Chang Shu; Stefanie Wuhrer; Pengcheng Xi
Addresses: National Research Council of Canada, 1200 Montreal Road, Ottawa, Ontario, Canada ' Cluster of Excellence on Multimodal Computing and Interaction, Saarland University; Max Plank Institute Informatik, Campus E 1 7, 66123 Saarbrücken, Germany ' National Research Council of Canada, 1200 Montreal Road, Ottawa, Ontario, Canada
Abstract: 3D anthropometric data obtained from 3D imaging technology provide unprecedented information about the human shape. At the same time, 3D data present tremendous challenges. New software tools and analytical methods have to be designed to realise the full potential of the 3D data. One prominent character of the 3D data is that they are a collection of coordinates in 3-space and do not have a natural order. This poses problems for performing statistical analysis. In order to make sense about this type of data, 3D points have to be registered such that meaningful correspondences across all the models can be established. Other issues include data completion, compression, and visualisation. In this paper, we describe a framework and the techniques involved in processing the 3D anthropometric data for the purpose of making them usable for designing products that fit the human shapes.
Keywords: statistical shape analysis; 3D anthropometry; geometry processing; human shape models; digital human models; digital human modelling; DHM; anthropometric data processing; product design; data completion; data compression; visualisation.
International Journal of Human Factors Modelling and Simulation, 2012 Vol.3 No.2, pp.133 - 146
Available online: 19 Dec 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article