Bounding Volumes for Linearly Interpolated Shapes

  • Authors:
  • Tobias Klug;Marc Alexa

  • Affiliations:
  • Darmstadt University of Technology;Darmstadt University of Technology

  • Venue:
  • CGI '04 Proceedings of the Computer Graphics International
  • Year:
  • 2004

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Abstract

Bounding volumes are crucial for culling in interactivegraphics applications. For dynamic shapes, computing abounding volume for each frame could be very expensive.We analyze the situation for a particular class of dynamicgeometry, namely, shapes resulting from the linear interpolationof several base shapes. The space of weights for thelinear combination can be decomposed into cells so that ineach cell a particular vertex is maximal (resp. minimal) in agiven direction. This cell decomposition of the weight spaceallows deriving bounding volumes from the weight vectorsrather than the generated geometry. We present algorithmsto generate the cell decomposition, to map from weights tocells, and to efficiently compute the necessary data structures.This approach to computing bounding volumes fordynamic shapes proves to be beneficial if the geometry representationis large compared to the number of base shapes.