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Wavelet-based volume morphing

  • Stony Brook University

Research output: Contribution to journalConference articlepeer-review

92 Scopus citations

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.

Original languageEnglish
Pages (from-to)85-92
Number of pages8
JournalProceedings Visualization
StatePublished - 1994
EventProceedings of the 1994 IEEE Visualization Conference - Washington, DC, USA
Duration: Oct 17 1994Oct 21 1994

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