A clothing pattern generating framework based on scanned human body model
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 25 April 2024
Abstract
Purpose
Accurate and automatic clothing pattern making is very important in personalized clothing customization and virtual fitting room applications. Clothing pattern generating as well as virtual clothing simulation is an attractive research issue both in clothing industry and computer graphics.
Design/methodology/approach
Physics-based method is an effective way to model dynamic process and generate realistic clothing animation. Due to conceptual simplicity and computational speed, mass-spring model is frequently used to simulate deformable and soft objects follow the natural physical rules. We present a physics-based clothing pattern generating framework by using scanned human body model. After giving a scanned human body model, first, we extract feature points, planes and curves on the 3D model by geometric analysis, and then, we construct a remeshed surface which has been formatted to connected quad meshes. Second, for each clothing piece in 3D, we construct a mass-spring model with same topological structures, and conduct a typical time integration algorithm to the mass-spring model. Finally, we get the convergent clothing pieces in 2D of all clothing parts, and we reconnected parts which are adjacent on 3D model to generate the basic clothing pattern.
Findings
The results show that the presented method is a feasible way for clothing pattern generating by use of scanned human body model.
Originality/value
The main contribution of this work is twofold: one is the geometric algorithm to scanned human body model, which is specially conducted for clothing pattern design to extract feature points, planes and curves. This is the crucial base for suit clothing pattern generating. Another is the physics-based pattern generating algorithm which flattens the 3D shape to 2D shape of cloth pattern pieces.
Keywords
Acknowledgements
This work was supported by Beijing Natural Science Foundation “Research on intelligent pattern making method of tight speed skating suit” (Grant No. 4222044), by Classified Development Project of Beijing Colleges and Universities - Constructing the Emerging Interdisciplinary Platform Based on “Clothing Science” of Beijing Institute of Fashion Technology (Grant No. 11000024T000003073871), by the Science and Technology Plan Project of Beijing Municipal Commission of Education (Grant No. km202110012011). The authors would like to thank reviewers for recommendations.
Citation
Xiao, B., Liu, Z., Shi, J. and Wang, Y. (2024), "A clothing pattern generating framework based on scanned human body model", International Journal of Clothing Science and Technology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJCST-08-2021-0110
Publisher
:Emerald Publishing Limited
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