Human Body Shapes Anomaly Detection and Classification Using Persistent Homology
Human Body Shapes Anomaly Detection and Classification Using Persistent Homology
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Accurate sizing systems of a population permit the minimization of the production costs of the textile apparel industry and allow firms to satisfy their customers. Hence, information about human body shapes needs to be extracted in order to examine, compare and classify human morphologies. In this paper, we use topological data analysis to study hu...
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Full title
Human Body Shapes Anomaly Detection and Classification Using Persistent Homology
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TN_cdi_doaj_primary_oai_doaj_org_article_302ec40a45fb44c9ba3dbec962458797
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_302ec40a45fb44c9ba3dbec962458797
Other Identifiers
ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a16030161
