Splatting of curvilinear volumes

  • Authors:
  • Xiaoyang Mao;Lichan Hong;A. Kaufman

  • Affiliations:
  • Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY;Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY;Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY

  • Venue:
  • VIS '95 Proceedings of the 6th conference on Visualization '95
  • Year:
  • 1995

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Abstract

The paper presents a splatting algorithm for volume rendering of curvilinear grids. A stochastic sampling technique called Poisson sphere/ellipsoid sampling is employed to adaptively resample a curvilinear grid with a set of randomly distributed points whose energy support extents are well approximated by spheres and ellipsoids. Filter kernels corresponding to these spheres and ellipsoids are used to generate the volume rendered image of the curvilinear grid with a conventional footprint evaluation algorithm. Experimental results show that our approach can be regarded as an alternative to existing fast volume rendering techniques of curvilinear grids.