Prediction of the Main Girths of Young Female Based on 3D Point Cloud Data
DOI:
10.3993/jfbi09201207
Journal of Fiber Bioengineering & Informatics, 5 (2012), pp. 289-298.
Published online: 2012-05
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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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