8 March 1999 Extracting surface area coverage by superimposing 3D scan data
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Abstract
Surface area coverage is an important feature for evaluating the functionality of personal protective equipment and clothing. This paper present an approach for calculating surface area coverage of protective clothing by superimposing two 3D whole body scan images: a scan of a 'nude' human/mankind body and a scan of a clothed body. The basic approach is to align two scans and calculate the per vertex distance field between the two scanned surfaces. Because the clothed body has an extra surface layer relative to the nude scan, the distance field may be used to define covered or uncovered regions by setting a distance threshold based on the thickness of the clothing or equipment. This paper discusses the procedures required for estimating surface area coverage including data slicing, sorting, mesh generation and the computation of the distance field. Although the above method is straightforward to describe, some difficulties related to human body scanning had to be overcome in the practical application of the method. Some of these challenges included: 1) registration of two scan data sets with different shapes, 2) the frequency occurrence of void data, especially in the clothing scan; and 3) the clothing/equipment may cause tissue compression and deformation. This paper discusses these problems and our current solutions.
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Peng Li, Peng Li, Brian D. Corner, Brian D. Corner, Steven Paquette, Steven Paquette, } "Extracting surface area coverage by superimposing 3D scan data", Proc. SPIE 3640, Three-Dimensional Image Capture and Applications II, (8 March 1999); doi: 10.1117/12.341051; https://doi.org/10.1117/12.341051
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