Nonrectangular wavelets for multiresolution mesh analysis and compression
Çetin, Ahmet Enis
Proceedings of SPIE Vol. 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV
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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.
Keywords2D Image like mesh representation
Optical resolving power