Segmentation and classification of anthropometric data for the apparel industry

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TypeBook Chapter
Book titleAnthropometry, Apparel Sizing and Design
Pages123140; # of pages: 18
Subjectanthropometry; clustering; diffusion distance; geodesic distance; heat kernel; invariance; Isomap; Laplacian; multidimensional scaling (MDS); segmentation; spherical harmonics; Zernike
AbstractAcquisition systems based on laser triangulation or structured light are becoming commonplace in anthropometry. Such systems allow one to capture very detailed data to be used when addressing the sizing problem. This chapter introduces state-of-the-art approaches to describe, to segment and to cluster the data acquired by such systems. We describe methods used to address the deformable nature of human bodies. We introduce isometry-invariant descriptor creation algorithms that are suitable for indexing regions that contain soft tissues. Further, we describe how to cluster a specific population, found in a so-called human body space, into partitions of similar individuals.
Publication date
PublisherWoodhead Publishing Limited
AffiliationNational Research Council Canada; Information and Communication Technologies
Peer reviewedYes
NPARC number21272900
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Record identifiere5273d32-e0ba-4f6b-81c6-475e86ae7278
Record created2014-12-03
Record modified2016-05-09
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