| DOI | Resolve DOI: https://doi.org/10.1504/IJHFMS.2012.051093 |
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| Author | Search for: Shu, Chang1; Search for: Wuhrer, Stefanie; Search for: Xi, Pengcheng1 |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Subject | 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 |
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| 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. |
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| Publication date | 2012-12 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21264657 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | c7218656-9391-4d66-93ee-295b12ddc02a |
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| Record created | 2013-03-20 |
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| Record modified | 2020-04-21 |
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