Volume 5, Issue 3
Prediction of the Main Girths of Young Female Based on 3D Point Cloud Data

Caiyuan Kuang, Kai-Chen Ji, Rong Jin & Guo-Lian Liu

Journal of Fiber Bioengineering & Informatics, 5 (2012), pp. 289-298.

Published online: 2012-05

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  • Abstract

Girths of human body are significant parameters in pattern design, affecting the fitting and aesthetics of clothing. In this paper, 110 female undergraduates in Soochow University were measured by using photogrammetric measurement and 3D non-contact measurement system. The silhouette of human body was extracted by using software Matlab to obtain width and thickness. The measurements of the girths were gotten via software Imageware based on 3D point cloud data. According to the ratio between thickness and width, classification of those females was carried out and the regression equation of each cluster was obtained. The analyzed results show that the proposed non-contact measurement method can reduce influence of subjective factors. Regression equations can be applied to predict main girths. It will be helpful in the automatic design of garment pattern.

  • Keywords

Image Point Cloud Data Body Shape Classi??cation Girth Prediction

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COPYRIGHT: © Global Science Press

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@Article{JFBI-5-289, author = {}, title = {Prediction of the Main Girths of Young Female Based on 3D Point Cloud Data}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2012}, volume = {5}, number = {3}, pages = {289--298}, abstract = {Girths of human body are significant parameters in pattern design, affecting the fitting and aesthetics of clothing. In this paper, 110 female undergraduates in Soochow University were measured by using photogrammetric measurement and 3D non-contact measurement system. The silhouette of human body was extracted by using software Matlab to obtain width and thickness. The measurements of the girths were gotten via software Imageware based on 3D point cloud data. According to the ratio between thickness and width, classification of those females was carried out and the regression equation of each cluster was obtained. The analyzed results show that the proposed non-contact measurement method can reduce influence of subjective factors. Regression equations can be applied to predict main girths. It will be helpful in the automatic design of garment pattern.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbi09201207}, url = {http://global-sci.org/intro/article_detail/jfbi/4883.html} }
TY - JOUR T1 - Prediction of the Main Girths of Young Female Based on 3D Point Cloud Data JO - Journal of Fiber Bioengineering and Informatics VL - 3 SP - 289 EP - 298 PY - 2012 DA - 2012/05 SN - 5 DO - http://doi.org/10.3993/jfbi09201207 UR - https://global-sci.org/intro/article_detail/jfbi/4883.html KW - Image KW - Point Cloud Data KW - Body Shape Classi??cation KW - Girth KW - Prediction AB - Girths of human body are significant parameters in pattern design, affecting the fitting and aesthetics of clothing. In this paper, 110 female undergraduates in Soochow University were measured by using photogrammetric measurement and 3D non-contact measurement system. The silhouette of human body was extracted by using software Matlab to obtain width and thickness. The measurements of the girths were gotten via software Imageware based on 3D point cloud data. According to the ratio between thickness and width, classification of those females was carried out and the regression equation of each cluster was obtained. The analyzed results show that the proposed non-contact measurement method can reduce influence of subjective factors. Regression equations can be applied to predict main girths. It will be helpful in the automatic design of garment pattern.
Caiyuan Kuang, Kai-Chen Ji, Rong Jin & Guo-Lian Liu. (2019). Prediction of the Main Girths of Young Female Based on 3D Point Cloud Data. Journal of Fiber Bioengineering and Informatics. 5 (3). 289-298. doi:10.3993/jfbi09201207
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