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Automatic body landmark identification for various body figures
Authors:Hyunsook Han  Yunja Nam
Affiliation:Seoul National University, Clothing & Textile Department, 599 Kwanak-ro, Kwansk-gu, Seoul, Republic of Korea
Abstract:In this paper, we presented automatic body landmark identification algorithms that deals flexibly with the difference in body shapes and reduces the inconsistency resulting from the differences in body shapes. First, the landmark search range was defined using the statistical analysis. Next, body scan direction was identified and it was segmented. Next, automatic landmark identification algorithms were developed for each of the six landmarks and the accuracy was examined for each body shape. The scans were extracted from 5th Size Korea database. This algorithms were successfully tested on various body shapes and improved the robustness.

Relevance to industry

In automatic body measurement systems, the landmark location error occurring at nonstandard body shapes nullifies the advantage of saving time. It also makes the 3D scan measurements unreliable. The improvement of reliability and accuracy of the automatic 3D body measurement algorithm for various human body shapes will reduce the time for performing measurements and be practical for use in human-size-related production processes.
Keywords:3D body scan   Automatic body measurement   Body shape   Computational geometry   Size Korea
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