Development of a Personalized Female Trouser Pattern Based on Three-Dimensional Measurements

In this study, a modified method to generate patterns is proposed to address fit and efficiency issues in personalized pattern generation. The cloud points containing all the information of a 3D scanned human body were converted into a personalized digital mannequin by Creacompo II Torso software from Toray Sixteen flattened panels, obtained by cutting and flattening the digital mannequin, were adjusted to generate a trouser pattern. The correlation of the fit of the trousers made based on the generated pattern and three structural parameters (the hem width, waist dart, and crotch curve) of the pattern were analyzed by virtual fitting experiments. The generation algorithm of the basic trouser pattern after alteration was developed. Verification was conducted by fittings. This work serves as an important reference for customized garment pattern design and the automatic generation of personalized patterns.