Volume 5, Issue 1
Study on Pattern Design Method of Women Tight Skirts Based on 3D Point-cloud Data

Pingying Gu, Qian Qian, Ting Chen, Lei Huang, Haiyan Kong & Guolian Liu

Journal of Fiber Bioengineering & Informatics, 5 (2012), pp. 85-93.

Published online: 2012-05

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  • Abstract

In this research, 100 female students aged from 18 to 24 years old were selected to take part in the body measurement. Data acquisition software named Imageware with a 3D scanner was employed to gain the body point-cloud diagram. Then, the characteristics of the young female lower body torso have been analyzed according to the data obtained. The regression of the key parts of women skirts and the characteristics of young female lower body torso has been found. Finally, the generating rules of the basic pattern of women skirts were established, which provides the foundation for auto-generation of skirt pattern.

  • Keywords

3D Body Measurement Women Skirts Pattern Auto-generation Imageware

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COPYRIGHT: © Global Science Press

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@Article{JFBI-5-85, author = {}, title = {Study on Pattern Design Method of Women Tight Skirts Based on 3D Point-cloud Data}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2012}, volume = {5}, number = {1}, pages = {85--93}, abstract = {In this research, 100 female students aged from 18 to 24 years old were selected to take part in the body measurement. Data acquisition software named Imageware with a 3D scanner was employed to gain the body point-cloud diagram. Then, the characteristics of the young female lower body torso have been analyzed according to the data obtained. The regression of the key parts of women skirts and the characteristics of young female lower body torso has been found. Finally, the generating rules of the basic pattern of women skirts were established, which provides the foundation for auto-generation of skirt pattern.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbi03201208}, url = {http://global-sci.org/intro/article_detail/jfbi/4864.html} }
TY - JOUR T1 - Study on Pattern Design Method of Women Tight Skirts Based on 3D Point-cloud Data JO - Journal of Fiber Bioengineering and Informatics VL - 1 SP - 85 EP - 93 PY - 2012 DA - 2012/05 SN - 5 DO - http://doi.org/10.3993/jfbi03201208 UR - https://global-sci.org/intro/article_detail/jfbi/4864.html KW - 3D Body Measurement KW - Women Skirts KW - Pattern Auto-generation KW - Imageware AB - In this research, 100 female students aged from 18 to 24 years old were selected to take part in the body measurement. Data acquisition software named Imageware with a 3D scanner was employed to gain the body point-cloud diagram. Then, the characteristics of the young female lower body torso have been analyzed according to the data obtained. The regression of the key parts of women skirts and the characteristics of young female lower body torso has been found. Finally, the generating rules of the basic pattern of women skirts were established, which provides the foundation for auto-generation of skirt pattern.
Pingying Gu, Qian Qian, Ting Chen, Lei Huang, Haiyan Kong & Guolian Liu. (2019). Study on Pattern Design Method of Women Tight Skirts Based on 3D Point-cloud Data. Journal of Fiber Bioengineering and Informatics. 5 (1). 85-93. doi:10.3993/jfbi03201208
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