Wavelet-based volume morphing

  • Authors:
  • Taosong He;Sidney Wang;Arie Kaufman

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

  • Venue:
  • VIS '94 Proceedings of the conference on Visualization '94
  • Year:
  • 1994

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Abstract

This paper presents a technique for performing volume morphing between two volumetric datasets in the wavelet domain. The idea is to decompose the volumetric datasets into a set of frequency bands, apply smooth interpolation to each band, and reconstruct to form the morphed model. In addition, a technique for establishing a suitable correspondence among object voxels is presented. The combination of these two techniques results in a smooth transition between the two datasets and produces morphed volume with fewer high frequency distortions than those obtained from spatial domain volume morphing.