An Improved Algorithm for Hairstyle Dynamics

  • Authors:
  • Dehui Kong

  • Affiliations:
  • -

  • Venue:
  • ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
  • Year:
  • 2002

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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 the evaluating approach of spring coefficient, i.e., spring coefficient can be obtained through the combination of large deflection deformation model and spring hinge model. This is based on the fact that there is a direct proportion between the spring coefficient and the 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 a success in solving the problem of hair-hair collision. As a result, a dynamic model, which fits very well a great variety of hairstyles, is proposed.