Nonrectangular wavelets for multiresolution mesh analysis and compression
Date
2006Source Title
Proceedings of SPIE Vol. 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV
Print ISSN
0277-786X
Publisher
SPIE
Volume
6247
Language
English
Type
Conference PaperItem Usage Stats
221
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Abstract
We propose a new Set Partitioning In Hierarchical Trees (SPIHT) based mesh compression framework. The 3D mesh is first transformed to 2D images on a regular grid structure. Then, this image-like representation is wavelet transformed and SPIHT is applied on the wavelet domain data. The method is progressive because the resolution of the reconstructed mesh can be changed by varying the length of the ID data stream created by SPIHT algorithm. Nearly perfect reconstruction is possible if full length of 1D data is received.
Keywords
2D Image like mesh representation3D meshes
Wavelet transform
Algorithms
Data reduction
Image compression
Image reconstruction
Optical resolving power