A novel motion blending approach based on fuzzy clustering

  • Authors:
  • Zhu Xiangbin

  • Affiliations:
  • School of Information Science and Engineering, Zhejiang Normal University, Jinhua Zhejiang, China

  • Venue:
  • PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
  • Year:
  • 2006

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Abstract

Motion blending allows the generation of new motions by interpolation or transition between motion capture sequences, which is widely accepted as a standard technique in computer animation. But traditional blending approaches let the user choose manually the transition time and duration. This paper presents a new motion blending method for smoothly blending between two motion capture clips and automatically selecting the transition time and duration. To evaluate the effectiveness of the improved method, we have done extensive experiments. The experiment results show that the novel motion blending method is effective in smoothly blending between two motion sequences.