4D Geometry Compression based on Lifting Wavelet Transform

نویسندگان

  • Yan Wang
  • Heba Hamza
چکیده

3D geometry is one of the most extensively used data in military, engineering, and multimedia communication. In a distributed environment, efficient visual data exchange is desirable for real-time collaboration. Geometry compression is an effective way to distribute high-volume geometry data within limited bandwidth and storage capacity. In this paper, a new time-varying 3D geometry compression method based on 4D lifting wavelet transform is presented. In this hybrid approach, geometric information and animation are compressed based volume grid values. Surfaces are reconstructed from decompressed grid values. With rescaling and integer-to-integer lifting, compression ratio is significantly increased without compromising quality of surfaces.

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تاریخ انتشار 2006