Journal of the Korean Society of Clothing and Textiles (한국의류학회지)

The Korean Society of Clothing and Textiles (한국의류학회)
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Development of an Algorithm for Automatic Extraction of Lower Body Landmarks Using Grasshopper Programming Language

Grasshopper 프로그래밍 기반 3D 인체형상의 하반신 기준점 자동탐색 알고리즘 설계

  • Eun Joo Ryu (Dept. of Fashion Industry, Ewha Womans University) ;
  • Hwa Kyung Song (Dept. of Clothing and Textiles, Kyung Hee University)
  • 유은주 (이화여자대학교 의류산업학과) ;
  • 송화경 (경희대학교 의상학과)
  • Received : 2022.10.28
  • Accepted : 2023.02.13
  • Published : 2023.02.28
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Abstract

This study aims to develop algorithms for automatic extraction landmarks from the lower body of women aged 20-54 using the Grasshopper programming language, based on 3D scan data in the 8th SizeKorea dataset. First, 11 landmarks were defined using the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithm, this study developed an additional algorithm that could automatically measure 16 items, and algorithm-derived measurements and SizeKorea measurements were compared using paired t-test analysis. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685-1:2018. This study found that the algorithm successfully identified most items except for the crotch point and gluteal fold point. In the case of landmarks with significant differences, the algorithms were modified. This study was significant because scan editing, landmark search, and measurement extraction were successfully performed in one interface, and the developed algorithm has a high efficiency and strong adaptability.

Keywords

Acknowledgement

본 연구는 2019년 정부(교육부)의 재원으로 한국연구재단의 기초연구사업(기본연구)의 연구비를 지원받아 수행되었음(NRF-2019R1F1A1053385)

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