An analysis of motion blending techniques

  • Feng A
  • Huang Y
  • Kallmann M
 et al. 
  • 26


    Mendeley users who have this article in their library.
  • 5


    Citations of this article.


Motion blending is a widely used technique for character animation. The main idea is to blend similar motion examples according to blending weights, in order to synthesize new motions parameterizing high level characteristics of interest. We present in this paper an in-depth analysis and comparison of four motion blending techniques: Barycentric interpolation, Radial Basis Function, K-Nearest Neighbors and Inverse Blending optimization. Comparison metrics were designed to measure the performance across di⬚erent motion categories on criteria including smoothness, parametric error and computation time. We have implemented each method in our character animation platform {SmartBody} and we present several visualization renderings that provide a window for gleaning insights into the underlying pros and cons of each method in an intuitive way.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Andrew Feng

  • Yazhou Huang

  • Marcelo Kallmann

  • Ari Shapiro

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free