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Proceedings Paper

Anthropomorphic classification using three-dimensional Fourier descriptor
Author(s): Nahm Sik Lee; Kyung Soo Park
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Paper Abstract

This paper presents an objective somatotyping method based upon a three-dimensional Fourier descriptor (FD3) as an invariant body shape descriptor. Human body shape was assumed as a stack of cross-sectional contours, and shape features were extracted based upon the FD3. The FD3 represents the shape features on the spatial frequency domain. Because global shape features are concentrated on the lower frequency terms, it is possible to classify the body shape efficiently. Trunks of forty-eight male subjects were measured using laser range finding and image processing techniques, and FD3s were calculated from their trunk contours and classified using a hierarchical clustering algorithm using Euclidian distance metric. Clustering results were compared with the classical somatotyping and showed good correlation with visual classification.

Paper Details

Date Published: 1 July 1991
PDF: 11 pages
Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44291
Show Author Affiliations
Nahm Sik Lee, Korea Standards Research Institute (South Korea)
Kyung Soo Park, Korean Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 1450:
Biomedical Image Processing II
Alan Conrad Bovik; Vyvyan Howard, Editor(s)

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