Abstract:

As the current virtual garment deformation methods cannot solve the local deformation of different degrees effectively, a method for garment deformation based on local constraints is proposed. Firstly, the garment model based on human characteristic parameters is established, and the massspring model and Euler algorithm are improved. Secondly, after exerting constrained force, an improved basis function is added to the original position of the particles, and the new positions are computed through the improved basis function combined with impact factors, thus  the varying degrees of deformation are complemented. The experimental results indicate that the method has good performance.

Key words: garment deformation;local constraints;basis function;constrainted weight