A growing sensitivity to environmental issues has stimulated increased consumer recycling of post‐consumer product waste. Post‐consumer textile waste is a largely untapped…
Abstract
A growing sensitivity to environmental issues has stimulated increased consumer recycling of post‐consumer product waste. Post‐consumer textile waste is a largely untapped commodity with strong reuse and recycling potential. This study explored consumer practices regarding textile waste disposal. Findings revealed the use of several textile disposal options with significant relationships between options used and attitudes toward recycling. This research is a necessary precursor to the establishment of organised textile recycling programmes.
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Terry Lerch, Sean Anthony and Tanya Domina
The purpose of this paper is to validate the accuracy of point cloud data generated from a 3D body scanner.
Abstract
Purpose
The purpose of this paper is to validate the accuracy of point cloud data generated from a 3D body scanner.
Design/methodology/approach
A female dress form was scanned with an X‐ray computed tomography (CT) system and a 3D body scanning system. The point cloud data from four axial slices of the body scan (BS) data were compared with the corresponding axial slices from the CT data. Length and cross‐sectional area measurements of each slice were computed for each scanning technique.
Findings
The point cloud data from the body scanner were accurate to at least 2.0 percent when compared with the CT data. In many cases, the length and area measurements from the two types of scans varied by less than 1.0 percent.
Research limitations/implications
Only two length measurements and a cross‐sectional area measurement were compared for each axial slice, resulting in a good first attempt of validation of the BS data. Additional methods of comparison should be employed for complete validation of the data. The dress form was scanned only once with each scanning device, so little can be said about the repeatability of the results.
Practical implications
Accuracy of the point cloud data from the 3D body scanner indicates that the main issues for the use of body scanners as anthropometric measurement tools are those of standardization, feature locations, and positioning of the subject.
Originality/value
Comparisons of point cloud data from a 3D body scanner with CT data had not previously been performed, and these results indicate that the point cloud data are accurate to at least 2.0 percent.