Synthesis of Cyclic Motions with Texture

نویسندگان

  • Katherine Pullen
  • Christoph Bregler
چکیده

Motion capture data is useful to an animator because it captures the exact style of a particular individual’s movements and has a life-like quality. However, often the data is not exactly what the animator needs. We demonstrate a method for using motion capture data as a starting point for creating synthetic motion data that addresses this problem by allowing the animator to specify hard constraints such as where the feet should contact the floor. The method captures the style of the motion as well as the life-like quality. It begins with an analysis phase, in which the data is divided into features such as frequency bands and correlations among joint angles, and represented with multidimensional kernel-based probability distributions. These distributions are then sampled in a synthesis phase, and optimized to yield the final animation.

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تاریخ انتشار 2002