Chunyan Liu, Cheng-Xue Yin, Zibo Wu, F. Guo, Yuan Wang, X. Si, Baodong Wang
{"title":"Image-based 2-D non-contact human data measurement and its application to automotive seats","authors":"Chunyan Liu, Cheng-Xue Yin, Zibo Wu, F. Guo, Yuan Wang, X. Si, Baodong Wang","doi":"10.1117/12.2653545","DOIUrl":null,"url":null,"abstract":"Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JITeCS Journal of Information Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2653545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.