TY - GEN
T1 - Locating anatomical points on foot from 3d point cloud data
AU - Zhao, Jianhui
AU - Goonetilleke, Ravindra S.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=46449136596&partnerID=8YFLogxK
U2 - 10.1109/ICAT.2006.82
DO - 10.1109/ICAT.2006.82
M3 - Conference contribution
AN - SCOPUS:46449136596
SN - 076952754X
SN - 9780769527543
T3 - Proceedings - 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006
SP - 603
EP - 607
BT - Proceedings - 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006
T2 - 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006
Y2 - 29 November 2006 through 1 December 2006
ER -