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Introduction

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

Abstract

This book presents methods for the realistic generation of virtual doubles of real-world actors. First, two efficient mesh-based alternatives to simplify the overall character animation process are proposed. Thereafter, three passive performance capture methods are presented dealing with actors wearing arbitrary everyday apparel. At the end, two novel algorithms for processing mesh animations are described. As a whole, the methods presented here form a powerful system to accurately capture, manipulate and realistically render real-world human performances, exceeding the capabilities of many related capture techniques.

Keywords

Motion Capture Performance Capture Character Animation Human Motion Capture Deformable Mesh 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    de Aguiar, E., Stoll, C., Theobalt, C., Ahmed, N., Seidel, H.P., Thrun, S.: Performance capture from sparse multi-view video. In: ACM TOG, Proc. SIGGRAPH (2008)Google Scholar
  2. 2.
    de Aguiar, E., Theobalt, C., Stoll, C., Seidel, H.: Marker-less 3d feature tracking for mesh-based human motion capture. In: Proc. ICCV HUMO 2007, pp. 1–15 (2007)Google Scholar
  3. 3.
    de Aguiar, E., Theobalt, C., Stoll, C., Seidel, H.P.: Marker-less deformable mesh tracking for human shape and motion capture. In: Proc. CVPR (2007)Google Scholar
  4. 4.
    de Aguiar, E., Theobalt, C., Stoll, C., Seidel, H.P.: Rapid animation of laser-scanned humans. In: IEEE Virtual Reality 2007, pp. 223–226 (2007)Google Scholar
  5. 5.
    de Aguiar, E., Theobalt, C., Thrun, S., Seidel, H.P.: Automatic conversion of mesh animations into skeleton-based animations. Computer Graphics Forum (Proc. Eurographics EG 2008) 27(2), 389–397 (2008)CrossRefGoogle Scholar
  6. 6.
    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
  7. 7.
    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
  8. 8.
    Allen, B., Curless, B., Popović, Z.: Articulated body deformation from range scan data. ACM Trans. Graph. 21(3), 612–619 (2002)CrossRefGoogle Scholar
  9. 9.
    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
  10. 10.
    Herda, L., Fua, P., Plänkers, R., Boulic, R., Thalmann, D.: Skeleton-based motion capture for robust reconstruction of human motion. In: CA 2000: Proc. of the Computer Animation, p. 77 (2000)Google Scholar
  11. 11.
    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
  12. 12.
    Paramount: Beowulf (2007), http://www.beowulfmovie.com/
  13. 13.
    Park, S.I., Hodgins, J.K.: Capturing and animating skin deformation in human motion. ACM Transactions on Graphics (SIGGRAPH 2006) 25(3), 881–889 (2006)CrossRefGoogle Scholar
  14. 14.
    Poppe, R.: Vision-based human motion analysis: An overview. CVIU 108, 4–18 (2007)Google Scholar
  15. 15.
    Sand, P., McMillan, L., Popović, J.: Continuous capture of skin deformation. ACM Trans. Graph. 22(3), 578–586 (2003)CrossRefGoogle Scholar
  16. 16.
    Theobalt, C., Rössl, C., de Aguiar, E., Seidel, H.P.: Animation collage. In: SCA 2007, pp. 271–280 (2007)Google Scholar

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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Edilson de Aguiar

    There are no affiliations available

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