Title
4D Geometry Compression Based On Lifting Wavelet Transform
Keywords
3D/4D geometry compression; Discrete wavelet transform; Integer-to-integer lifting; Isosurface
Abstract
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.
Publication Date
12-1-2006
Publication Title
2006 IIE Annual Conference and Exhibition
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
36448991192 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/36448991192
STARS Citation
Wang, Yan and Hamza, Heba, "4D Geometry Compression Based On Lifting Wavelet Transform" (2006). Scopus Export 2000s. 7671.
https://stars.library.ucf.edu/scopus2000/7671