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17 April 2006 Nonrectangular wavelets for multiresolution mesh analysis and compression
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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 1D data stream created by SPIHT algorithm. Nearly perfect reconstruction is possible if full length of 1D data is received.
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Kıvanc Köse, A. Enis Çetin, Uğur Güdükbay, and Levent Onural "Nonrectangular wavelets for multiresolution mesh analysis and compression", Proc. SPIE 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV, 624704 (17 April 2006); https://doi.org/10.1117/12.666702
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