Garment Pattern Generation from Body Scan Data

Abstract

An automatic garment pattern design system using three-dimensional body scan data has been developed. A body model has been generated from massive body scan data using segmentation and the Fourier series expansion method. The surface geometry of a standard garment model used in the apparel industry was reconstructed by stereovision technique and converted into a mesh structure. Surface warping algorithm was used to make an equalized geometry of two models, and multi-resolution mesh generation along with optimum planar pattern mapping algorithm were used to generate the optimum two-dimensional patterns of the garment.