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Title: An automatic method for measuring foot girths for custom footwear using local RBF implicit surfaces
Authors: Ding, Yihua
Zhao, Jianhui
Goonetilleke, Ravindra S.
Xiong, Shuping
Yuan, Zhiyong
Keywords: 3D points
Girth measurement
Foot measurement
Custom footwear
Foot girth
Foot model
3D scan
Issue Date: May-2010
Citation: International journal of computer integrated manufacturing v. 23, no. 6, June 2010, p. 574-583
Abstract: Scanned 3D point cloud data of a foot and a last are used in the manufacture of custom footwear. But, automatic and accurate measurement of dimensions, especially girths, is an issue of concern to many designers and footwear developers. Existing methods for measuring girths are primarily based on points or generated triangles, but their accuracy is heavily dependent on the density of the point cloud data. In this paper we present the use of the Radial Basis Function (RBF) surface modeling technique for measuring girths as it has the advantage of being able to operate on unorganized 3D points, allowing the surface that is produced to go through every scanned point, while repairing incomplete meshes. To overcome the high computational expense of the RBF method, local surface recovery, octree division and combination, inverse power method and improved Cholesky factorization are also used. The girth measurements obtained from these approaches are compared against those using purely scan points, and other methods. Experimental results demonstrate that the local RBF implicit surface can provide more stable and accurate measurements, using relatively less time, proving its value in custom footwear manufacture.
Rights: This is a preprint of an article whose final and definitive form has been published in the International Journal of Computer Integrated Manufacturing © 2010 copyright Taylor & Francis; International Journal of Computer Integrated Manufacturing is available online at:
Appears in Collections:IELM Journal/Magazine Articles

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