Learning skeletons for shape and pose

  • Authors:
  • Nils Hasler;Thorsten Thormählen;Bodo Rosenhahn;Hans-Peter Seidel

  • Affiliations:
  • MPI Informatik;MPI Informatik;University of Hannover;MPI Informatik

  • Venue:
  • Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
  • Year:
  • 2010

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Abstract

In this paper a method for estimating a rigid skeleton, including skinning weights, skeleton connectivity, and joint positions, given a sparse set of example poses is presented. In contrast to other methods, we are able to simultaneously take examples of different subjects into account, which improves the robustness of the estimation. It is additionally possible to generate a skeleton that primarily describes variations in body shape instead of pose. The shape skeleton can then be combined with a regular pose varying skeleton. That way pose and body shape can be controlled simultaneously but separately. As this skeleton is technically still just a skinned rigid skeleton, compatibility with major modelling packages and game engines is retained. We further present an approach for synthesizing a suitable bind shape that additionally improves the accuracy of the generated model.