Layered animation of captured data

  • Sun W
  • Hilton A
  • Smith R
 et al. 
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This paper proposes a novel technique for building layer animation models of real articulated objects from 3D surface measurement data. Objects are scanned using a hand-held 3D sensor to acquire 3D surface measurements. A novel geometric fusion algorithm is presented which enables reconstruction of a single surface model from the captured data. This algorithm overcomes the limitations of previous approaches which cannot be used for hand-held sensor data as they assume that measurements are on a structured planar grid. The geometric fusion introduces the normal-volume representation of a triangle to convert individual triangles to a volumetric implicit surface. A layered model is constructed to animate the reconstructed high-resolution surface. The model consists of 3 layers: skeleton for animation from key-frame or motion capture; low-resolution-control- model for real-time mesh deformation; and high-resolution model to represent the captured surface detail. Initially the skeleton model is manually placed inside the low-resolution control model and high-resolution scanned data. Automatic techniques are introduced to map both the control model and captured data into a single layered model. The high-resolution captured data is mapped onto the low- resolution control model using the normal-volume representation. The resulting model enables efficient, seamless animation by manipulation of the skeleton whilst maintaining the captured high-resolution surface detail. The animation of high-resolution captured data based on a low-resolution generic model of the object opens up the possibility of rapid capture and animation of new objects based on libraries of generic models

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  • Wei Sun

  • Adrian Hilton

  • Raymond Smith

  • John Illingworth

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