Data-driven Geometrical Measurement and Analysis for Realistic Garment Materials
Garment materials exhibit nonlinear and anisotropic behavior due to tiieir woven patterns and fiber properties.It has become more and more important to judge textiles physical performances before any production process.However,tiie isolation and measurement of each material parameter would require complicated test environment and equipments.This paper proposes an efficient and expressive data-driven geometrical measurement method to obtain tiie properties of realistic garment materials.The key idea in this work is to objectively measure tiie fabric hand attributes.We first developed a direct geometrical material measurement method for testing tiie recovery,stretching and bending behaviors of different real clotii samples.Our setup is easy and inexpensive to construct,and the measurements allow us to build a database that includes fit parameters which exhibit respective anisotropic behaviors for a range of different materials.
Garment material Geometrical measurement Anisotropic behavior Data-driven Parameter optimization
Li Liu Ruo-Mei Wang Shan Zeng
National Engineering Research Center of Digital Life,State-Province Joint Laboratory of Digital Home Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunmi
国际会议
第六届纺织生物工程及信息国际会议(The 6th Textile Bioengineering and Informatics Symposium )(TBIS2013)
西安
英文
1217-1223
2013-09-26（万方平台首次上网日期，不代表论文的发表时间）