Research on 3D textured dress geometry modelling

Purpose - The purpose of this paper is to describe a processing system for 3D dress geometry modelling and texture mapping. Design/methodology/approach - Since the range image and its corresponding texture from one direction could be acquired by areal 3D scanner simultaneously, the texture can be integrated into the range image exactly. In the geometry modelling stage, the graph-based algorithm is used for multi-view registration. In order to enhance its robustness, a method for judging bad pairwise registration is proposed based on the computation of two views' overlapping percentage. In order to enrich its completeness, combined the graph analysis with the metaview method is used to deal with the measurement data for local details. In the texture mapping stage, based on grid search structure, the method of solving the Poisson equation for the colour field that best fits the colour gradients can produce a seamlessly textured surface quickly. Findings - Results show that the processing system can provide a 3D textured dress geometry model with no seams and low distortion successfully. Practical implications - The processing system can provide an accurate 3D dress geometry model, which can be used to modify the further design or virtual try. Originality/value - A 3D dress geometry model with no seams and low distortion provides the fashion designer with not only the visual effects, but also accurate data used for design modification.