从二维图像中获取三维身体测量的像素坐标

IF 0.6 4区工程技术 Q4 MATERIALS SCIENCE, TEXTILES

Tekstil Ve Konfeksiyon Pub Date : 2023-04-28 DOI:10.32710/tekstilvekonfeksiyon.1201436

Nefise Gonul Sengoz, Fatih Zeybek

{"title":"从二维图像中获取三维身体测量的像素坐标","authors":"Nefise Gonul Sengoz, Fatih Zeybek","doi":"10.32710/tekstilvekonfeksiyon.1201436","DOIUrl":null,"url":null,"abstract":"In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors’ another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cm/pixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93 % is concluded with the ellipse circumference equation.","PeriodicalId":22221,"journal":{"name":"Tekstil Ve Konfeksiyon","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images\",\"authors\":\"Nefise Gonul Sengoz, Fatih Zeybek\",\"doi\":\"10.32710/tekstilvekonfeksiyon.1201436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors’ another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cm/pixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93 % is concluded with the ellipse circumference equation.\",\"PeriodicalId\":22221,\"journal\":{\"name\":\"Tekstil Ve Konfeksiyon\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tekstil Ve Konfeksiyon\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.32710/tekstilvekonfeksiyon.1201436\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATERIALS SCIENCE, TEXTILES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tekstil Ve Konfeksiyon","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.32710/tekstilvekonfeksiyon.1201436","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, TEXTILES","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种利用像素坐标从二维图像中获取三维人体尺寸的新方法，消除了人体测量的需要，解决了电子购物中的不合适问题。正面和侧面照片处理与新开发的程序命名为PixelList1.0和Python 2.0。在作者的另一篇文章中提出的尖锐轮廓得益于算法来获得特征点的像素坐标。保存特征点之间的像素个数，连续计算差值的绝对值，利用不同的数学模型得到像素的三维人体测量值。引入转换系数，精确计算出像素尺寸为0.239 cm/像素。以厘米为单位的三维身体测量是通过将像素数乘以圆形、椭圆形和圆形周长方程中一个像素的大小来获得的。用椭圆周长方程计算，总准确率可达93%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images

In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors’ another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cm/pixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93 % is concluded with the ellipse circumference equation.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Tekstil Ve Konfeksiyon 工程技术-材料科学：纺织

CiteScore

1.40

自引率

33.30%

发文量

审稿时长

>12 weeks

期刊介绍： Tekstil ve Konfeksiyon, publishes papers on both fundamental and applied research in various branches of apparel and textile technology and allied areas such as production and properties of natural and synthetic fibers, yarns and fabrics, technical textiles, finishing applications, garment technology, analysis, testing, and quality control.