An improved algorithm for hairstyle dynamics

Abstract

This paper introduces an efficient and flexible hair modeling method to develop intricate hairstyle dynamics. A prominent contribution of the present work is that it proposes an evaluation approach for the spring coefficient, i.e., spring coefficient can be obtained through a combination of the large deflection deformation model and spring hinge model. This is based on the fact that there is a directly proportional relationship between the spring coefficient and stiffness coefficient, a variable determined by hair shape. What is more, the damping coefficient is no longer regarded as a constant, but a function of hair density, and this treatment has turned out to be successful in solving the problem of hair-hair collision. As a result, a dynamic model, which fits a great variety of hairstyles, is proposed.