TY  - JOUR
ID  - 20494939
AU  - Wuhrer, Stefanie
AU  - Shu, Chang
AU  - Xi, Pengcheng
T1  - Posture-invariant statistical shape analysis using Laplace operator
JO  - Computers & Graphics
SP  - 410
EP  - 416
VL  - 36
IS  - 5
PY  - 2012
KW  - statistical shape analysis
KW  - posture-invariant shape processing
KW  - Laplace operator
N2  - Statistical shape analysis is a tool that allows to quantify the shape variability of a population of shapes. Traditional tools to perform statistical shape analysis compute variations that reflect both shape and posture changes simultaneously. In many applications, such as ergonomic design applications, we are only interested in shape variations. With traditional tools, it is not straightforward to separate shape and posture variations. To overcome this problem, we propose an approach to perform statistical shape analysis in a posture-invariant way. The approach is based on a local representation that is obtained using the Laplace operator.
DO  - http://dx.doi.org/10.1016/j.cag.2012.03.026
U3  - Information and Communication Technologies
U3  - Technologies de l'information et des communications
U3  - National Research Council Canada
U3  - Conseil national de recherches Canada
U3  - Information and Communication Technologies
U3  - Technologies de l'information et des communications
ER  -