Progressive geometry compression

  • Authors:
  • Andrei Khodakovsky;Peter Schröder;Wim Sweldens

  • Affiliations:
  • Caltech;Caltech;Bell Laboratories

  • Venue:
  • Proceedings of the 27th annual conference on Computer graphics and interactive techniques
  • Year:
  • 2000

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Abstract

We propose a new progressive compression scheme for arbitrary topology, highly detailed and densely sampled meshes arising from geometry scanning. We observe that meshes consist of three distinct components: geometry, parameter, and connectivity information. The latter two do not contribute to the reduction of error in a compression setting. Using semi-regular meshes, parameter and connectivity information can be virtually eliminated. Coupled with semi-regular wavelet transforms, zerotree coding, and subdivision based reconstruction we see improvements in error by a factor four (12dB) compared to other progressive coding schemes.