Human Body Shapes Anomaly Detection and Classification Using Persistent Homology

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 p...

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Bibliographic Details
Published in:	Algorithms Vol. 16; no. 3; p. 161
Main Authors:	de Rose, Steve, Meyer, Philippe, Bertrand, Frédéric
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-03-2023 MDPI
Subjects:	Algorithms Analysis Anomalies anomaly detection Classification Clothing industry Clustering Computer Science Data analysis Data science Datasets Females Homology Human anatomy Human body Information management machine learning Males morphotype persistent homology Production costs Sex discrimination Shape recognition topological data analysis anomaly detection clustering morphotype machine learning persistent homology topological data analysis
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