Consistent parameterization and statistical analysis of human head scans

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DOIResolve DOI: http://doi.org/10.1007/s00371-009-0316-6
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TypeArticle
Journal titleThe Visual Computer
ISSN1432-2315
Volume25
Issue9
Pages863871; # of pages: 9
Subjectconsistent parameterization; 3D mesh deformation; principal component analysis; independent component analysis
AbstractStatistical shape analysis of 3-D scanned human heads provides important information for many applications. Nevertheless, special geometry processing techniques have to be developed for consistently parameterizing scans due to the fact that different scanning projects vary in landmark definition, noise control and other factors. For consistent parameterization, fitting a generic model to each scan has proved to be an effective method. In this paper, improved techniques are presented to solve problems in parameterizing different data sets. Principal Component Analysis (PCA) is thus conducted on the consistently parameterized data sets, and shape variances along principal components are demonstrated. In addition, shape variations analyzed by Independent Component Analysis (ICA) are also presented.
Publication date
PublisherSpringer
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedYes
NPARC number21268088
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Record identifierb9cdf3f4-e0ab-41e1-8e11-5503ff00c3b3
Record created2013-04-09
Record modified2016-05-09
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