Anthropomorphic classification using three-dimensional Fourier descriptor

Nahm Sik Lee; Kyung Soo Park

doi:10.1117/12.44291

1 July 1991 Anthropomorphic classification using three-dimensional Fourier descriptor

Nahm Sik Lee; Kyung Soo Park

Author Affiliations +

Proceedings Volume 1450, Biomedical Image Processing II; (1991) https://doi.org/10.1117/12.44291
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

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.

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Nahm Sik Lee, Nahm Sik Lee, Kyung Soo Park, Kyung Soo Park, } "Anthropomorphic classification using three-dimensional Fourier descriptor", Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44291; https://doi.org/10.1117/12.44291

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