Landmark-free posture invariant human shape correspondence

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DOIResolve DOI: http://doi.org/10.1007/s00371-011-0557-z
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TypeArticle
Journal titleThe Visual Computer
Volume27
Issue9
Pages843852; # of pages: 10
Subjectshape correspondence; template fitting
AbstractWe consider the problem of computing accurate point-to-point correspondences among a set of human bodies in varying postures using a landmark-free approach. The approach learns the locations of the anthropometric landmarks present in a database of human models in strongly varying postures and uses this knowledge to automatically predict the locations of these anthropometric landmarks on a newly available scan. The predicted landmarks are then used to compute point-to-point correspondences between a rigged template model and the newly available scan.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada
Peer reviewedYes
NPARC number19688666
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Record identifierd17000be-e447-4850-a1a9-5ac63a25a5b2
Record created2012-03-21
Record modified2016-05-09
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