利用三维点云数据定位足部解剖点

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI:10.1109/ICAT.2006.82

Jianhui Zhao, R. Goonetilleke

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引用次数: 8

摘要

基于一种新颖的方法，提出了从扫描的三维点数据中自动定位足部解剖点的算法，该方法使用腱点进行足部对齐，从而最小化不同尺寸的变化。利用检测到的足踝和足弓点对足型进行分类。在自动检测解剖点的基础上，确定了10名参与者的9个脚尺寸，并与人工测量进行了比较。

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Locating Anatomical Points on Foot from 3D Point Cloud Data

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.

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16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)

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