16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Locating Anatomical Points on Foot from 3D Point Cloud Data Hangzhou, China November 29-December 01 ISBN: 0-7695-2754-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAT.2006.82
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||