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Locating Anatomical Points on Foot from 3D Point Cloud Data
Hangzhou, China November 29-December 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAT.2006.8216th International Conference on Arti ...
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Jianhui Zhao, Wuhan University, China
Ravindra S. Goonetilleke, Hong Kong University of Science and Technology, Hong Kong
Algorithms are proposed to automatically locate the foot anatomical points from scanned 3D point data based on a novel method that uses the pternion point for foot alignment, whereby variations in the different dimensions are minimized. The detected foot malleoli and arch point are used to classify the foot type. Based on the automatically detected anatomical points, 9 foot dimensions of 10 participants were determined and compared with manual measurements.
Citation:
Jianhui Zhao, Ravindra S. Goonetilleke, "Locating Anatomical Points on Foot from 3D Point Cloud Data," icat, pp.603-607, 16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006
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