Surface Capture for Performance-Based Animation

  • Authors:

  • Jonathan Starck;Adrian Hilton

  • Affiliations:

  • University of Surrey, Guildford, UK;University of Surrey, Guildford, UK

  • Venue:
  • IEEE Computer Graphics and Applications
  • Year:
  • 2007

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Abstract

Digital content production traditionally requires highly skilled artists and animators to first manually craft shape and appearance models and then instill the models with a believable performance. Motion capture technology is now increasingly used to record the articulated motion of a real human performance to increase the visual realism in animation. Motion capture is limited to recording only the skeletal motion of the human body and requires the use of specialist suits and markers to track articulated motion. The authors present surface capture, a fully automated system to capture shape and appearance as well as motion from multiple video cameras as a basis to create highly realistic animated content from an actor's performance in full wardrobe. They address wide-baseline scene reconstruction to provide 360-degree appearance from only eight camera views and introduce an efficient scene representation for level of detail control in streaming and rendering. Finally, they demonstrate interactive animation control in a computer games scenario using a captured library of human animation, achieving a frame rate of 300 fps on consumer level graphics hardware.