Automatic Locating of Anthropometric Landmarks on 3D Human Models

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TypeArticle
ConferenceThird International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT 2006), June 13-16, 2006., Chapel Hill, North Carolina, USA
AbstractWe present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationships between them from a set of human scans where the landmarks are identified. The learned information is formulated by a pairwise Markov network. Each node of the network is a random variable corresponding to the position of a landmark. The edges of the network represent correlations between the positions of landmark pairs. Probabilistic inference is then performed over the Markov network to locate the landmarks. We evaluated the algorithm on 30 human models with different shapes. The results showed good accuracy for most of the landmarks.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48723
NPARC number5764856
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Record identifier28d2b039-f9be-4a39-93a2-79d20fbd3db6
Record created2009-03-29
Record modified2016-05-09
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