Human Body Shapes Anomaly Detection and Classification Using Persistent Homology

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
Main Authors: Steve de Rose, Philippe Meyer, Frédéric Bertrand
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Algorithms
Subjects:
topological data analysis
machine learning
persistent homology
clustering
anomaly detection
morphotype
Online Access:https://www.mdpi.com/1999-4893/16/3/161

Internet

https://www.mdpi.com/1999-4893/16/3/161

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