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3D Garment Modelling - Creation of a Virtual Mannequin of the Human Body
(Instytut Biopolimerów i Włókien Chemicznych (IBWCh) , Łódź, Polska, 2014) Cichocka, Agnieszka; Bruniaux, Pascal; Frydrych, Iwona
This work presents the modelling and numerical simulation of mannequins as well as clothes in a 3D virtual environment. The paper explains garment modelling, with the objective of defining the development of a 3D body model that is useful and based on the demand of the garment industry. For this purpose a development strategy should be defined. Many scientists are working on the creative process for virtual garment development to create a garment directly on a 3D model of the human body, also called “ virtual tailoring”.The first strategic issue in this context that we present is that the model must necessarily incorporate the ease garment model associatively. These parameters define the priority concepts that are the draping and proper fit of the garment. The second point is that the transition between the 3D and 2D patterns, known as flattening 3D patterns, must be associative, precise and must take into account the real deformation of the fabric.
Knowledge-based personalized pattern design of legging for mass customization using support vector machine modelling
(Wydawnictwo Politechniki Łódzkiej, 2022) Wang, Zhujun; Xing, Yingmei; Tao, Xuyuan; Zeng, Xianyi; Bruniaux, Pascal; Xu, Zhenzhen
In this study, we proposed a knowledge-based intelligent approach for pattern design of personalized garment toward mass customization using support vector machine modelling. This approach has been described and validated in the scenario of personalized legging design. The proposed models have been set up by learning from quantitative relationships between garment structure lines and controlling points, and then simulated for pattern parameters prediction. Finally, the performance of the presented approach was compared with the traditional grading method. From the experimental results, the design effect of the proposed approach is equivalent to the existing grading method. It indicates that our approach provides a feasible and valuable solution for promoting the personalized garment pattern design and facilitating the process of garment mass customization.