Abstract
In this paper, non-contact anthropometry is done on the female bodies, and the 3D point-cloud data is got by 3D scanner, and then the collar curve of female tight prototype is generation by data processing on point-cloud figures using reverse engineering software. The collar curve can be divided into the front and back collar curve. The characteristic points of the front collar curve are points of side neck and front neck, and the characteristic points of the back collar curve are points of side neck and back neck. By making the cross sections of the above points, the depth and width of the front and back collar curves are got, and according to the principle of equant depth four related points are inserted in the front collar curve, and three related points are inserted in the back collar curve.
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Xiao-hui, X., Bing-fei, G., Jun-qiang, S., Guo-lian, L. (2011). Study on the Generation of Collar Curve Based on 3D Point-Cloud Data. In: Zhou, Q. (eds) Advances in Applied Economics, Business and Development. ISAEBD 2011. Communications in Computer and Information Science, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23020-2_76
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DOI: https://doi.org/10.1007/978-3-642-23020-2_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23019-6
Online ISBN: 978-3-642-23020-2
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