Poisson-Based Skeleton-Less Character Animation

  • Edilson de Aguiar
Part of the Cognitive Systems Monographs book series (COSMOS, volume 5)


This chapter presents an approach to efficiently generate high-quality animations of human characters from input motion data. Using a Poisson-based deformation method, as described in Sect. 3.2.1, the proposed approach outputs character animations with realistic body deformations, only requiring a minimum of manual interaction.


Motion Capture Template Model Mesh Deformation Motion Capture Data Character Animation 
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  1. 1.
    de Aguiar, E., Zayer, R., Theobalt, C., Magnor, M., Seidel, H.P.: A simple framework for natural animation of digitized models. In: IEEE SIBGRAPI (2007)Google Scholar
  2. 2.
    de Aguiar, E., Zayer, R., Theobalt, C., Magnor, M., Seidel, H.P.: Video-driven animation of human body scans. In: IEEE 3DTV Conference (2007)Google Scholar
  3. 3.
    Bodenheimer, B., Rose, C., Rosenthal, S., Pella, J.: The process of motion capture: Dealing with the data. In: Computer Animation and Simulation 1997, pp. 3–18 (1997)Google Scholar
  4. 4.
    Carranza, J., Theobalt, C., Magnor, M., Seidel, H.P.: Free-viewpoint video of human actors. ACM TOG (Proc. of SIGGRAPH 2003) 22(3), 569–577 (2003)CrossRefGoogle Scholar
  5. 5.
    Gleicher, M.: Retargetting motion to new characters. In: Proc. of ACM SIGGRAPH, pp. 33–42 (1998)Google Scholar
  6. 6.
    Lewis, J.P., Cordner, M., Fong, N.: Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation. In: Proc. of ACM SIGGRAPH 2000, pp. 165–172 (2000)Google Scholar

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© Springer-Verlag Berlin Heidelberg 2010

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  • Edilson de Aguiar

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