Research on customized clothing looseness algorithm using adaptive human body characteristics

In the process of customized clothing design, adding relaxation to clothing is an essential step to meet the daily activities of the human body, as well as the needs of wearing comfort and achieving a fitting effect. However, the traditional rule of adding relaxation to clothing is determined based on the experience of fashion designers; For example, its regulations generally add 18cm to the chest circumference of male T-shirts, and 6cm to the chest circumference of female T-shirts; The chest circumference of the jacket is generally increased by 23cm; The chest circumference of a windbreaker is generally increased by 24cm. The traditional rules for adding relaxation to clothing only consider the differences in clothing types and do not take into account the differences in human body shapes, which has certain limitations.To compensate for this deficiency, this paper proposes a three-dimensional clothing slack algorithm that adapts to the human body features. This algorithm not only considers the circumference size features of the human body, such as chest and waist, but also takes into account the wearing reference point features of the human body. The algorithm adds different amounts of clothing relaxation according to different body types.The customized clothing type studied in this article is short sleeved T-shirts, and the T-shirt sizes corresponding to different body types are divided into S, M, L, and XL sizes. The topic of this article stipulates that the corresponding body size for male T-shirts in size S is 160/80A, where 160 represents size, represents height, 80 represents type, represents chest circumference, and A represents body type classification; The male T-shirt size M corresponds to a body size of 165/84A; The male T-shirt size L corresponds to a body size of 170/84A; The male T-shirt XL corresponds to a body size of 175/88A; The female T-shirt size S corresponds to a body size of 155/80A; The female T-shirt size M corresponds to a body size of 160/84A; The female T-shirt size L corresponds to a body size of 165/84A; The XL size of a women's T-shirt corresponds to a body size of 170/84A.This article mainly studies the use of the USIP deep learning model to obtain the key points of the point cloud between the human body and clothing, and then obtain the reference points of the human body and clothing. The closest distance between the reference points of the human body and clothing is calculated. B-spline curve fitting is used to measure the circumference size of the human body and clothing, and a new formula for calculating clothing relaxation is proposed. Finally, simulation experiments are conducted based on different human body types.