Posture-invariant statistical shape analysis using Laplace operator

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DOIResolve DOI: http://doi.org/10.1016/j.cag.2012.03.026
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TypeArticle
Journal titleComputers & Graphics
Volume36
Issue5
Pages410416; # of pages: 7
Subjectstatistical shape analysis; posture-invariant shape processing; Laplace operator
AbstractStatistical 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.
Publication date
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada; Information and Communication Technologies
Peer reviewedYes
NPARC number20494939
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Record identifier31788dea-617e-47fc-9b87-be11ddd94c55
Record created2012-08-16
Record modified2016-05-09
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