| DOI | Resolve DOI: https://doi.org/10.1533/9780857096890.2.123 |
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| Author | Search for: Paquet, E.1; Search for: Viktor, H. L. |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Book Chapter |
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| Subject | anthropometry; clustering; diffusion distance; geodesic distance; heat kernel; invariance; isomap; Laplacian; multidimensional scaling (MDS); segmentation; spherical harmonics; Zernike |
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| Abstract | Acquisition 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. |
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| Publication date | 2014-04-17 |
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| Publisher | Woodhead Publishing Limited |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21272900 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | e5273d32-e0ba-4f6b-81c6-475e86ae7278 |
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| Record created | 2014-12-03 |
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| Record modified | 2020-06-18 |
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