{"title":"使用Rhino和Grasshopper算法自动提取上半身标志","authors":"Eun Joo Ryu, Hwa Kyung Song","doi":"10.1186/s40691-022-00302-y","DOIUrl":null,"url":null,"abstract":"<div><p>The aim of this study is to develop algorithms for automatic landmark extraction on women with various upper body types and body inclinations using the Grasshopper algorithm editor, which enables the user to interact with the 3D modeling interface. First, 15 landmarks were defined based on the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithms on various body shapes, this study determined criteria for key body shape factors (BMI, neck slope, upper body slope, and shoulder slope) that influence each landmark position, classified them into body shape groups and sorted the scan samples for each body type using the 6th SizeKorea database. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685. In the case of landmarks with significant differences, the algorithm was modified. It was found that the algorithms were successfully applied to various upper body shapes, which improved the reliability and accuracy of the algorithm.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-022-00302-y","citationCount":"2","resultStr":"{\"title\":\"Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms\",\"authors\":\"Eun Joo Ryu, Hwa Kyung Song\",\"doi\":\"10.1186/s40691-022-00302-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The aim of this study is to develop algorithms for automatic landmark extraction on women with various upper body types and body inclinations using the Grasshopper algorithm editor, which enables the user to interact with the 3D modeling interface. First, 15 landmarks were defined based on the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithms on various body shapes, this study determined criteria for key body shape factors (BMI, neck slope, upper body slope, and shoulder slope) that influence each landmark position, classified them into body shape groups and sorted the scan samples for each body type using the 6th SizeKorea database. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685. In the case of landmarks with significant differences, the algorithm was modified. It was found that the algorithms were successfully applied to various upper body shapes, which improved the reliability and accuracy of the algorithm.</p></div>\",\"PeriodicalId\":555,\"journal\":{\"name\":\"Fashion and Textiles\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-022-00302-y\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fashion and Textiles\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s40691-022-00302-y\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, TEXTILES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fashion and Textiles","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1186/s40691-022-00302-y","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, TEXTILES","Score":null,"Total":0}
Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms
The aim of this study is to develop algorithms for automatic landmark extraction on women with various upper body types and body inclinations using the Grasshopper algorithm editor, which enables the user to interact with the 3D modeling interface. First, 15 landmarks were defined based on the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithms on various body shapes, this study determined criteria for key body shape factors (BMI, neck slope, upper body slope, and shoulder slope) that influence each landmark position, classified them into body shape groups and sorted the scan samples for each body type using the 6th SizeKorea database. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685. In the case of landmarks with significant differences, the algorithm was modified. It was found that the algorithms were successfully applied to various upper body shapes, which improved the reliability and accuracy of the algorithm.
期刊介绍:
Fashion and Textiles aims to advance knowledge and to seek new perspectives in the fashion and textiles industry worldwide. We welcome original research articles, reviews, case studies, book reviews and letters to the editor.
The scope of the journal includes the following four technical research divisions:
Textile Science and Technology: Textile Material Science and Technology; Dyeing and Finishing; Smart and Intelligent Textiles
Clothing Science and Technology: Physiology of Clothing/Textile Products; Protective clothing ; Smart and Intelligent clothing; Sportswear; Mass customization ; Apparel manufacturing
Economics of Clothing and Textiles/Fashion Business: Management of the Clothing and Textiles Industry; Merchandising; Retailing; Fashion Marketing; Consumer Behavior; Socio-psychology of Fashion
Fashion Design and Cultural Study on Fashion: Aesthetic Aspects of Fashion Product or Design Process; Textiles/Clothing/Fashion Design; Fashion Trend; History of Fashion; Costume or Dress; Fashion Theory; Fashion journalism; Fashion exhibition.