Nonrectangular wavelets for multiresolution mesh analysis and compression

Kıvanc Köse; A. Enis Çetin; Uğur Güdükbay; Levent Onural

doi:10.1117/12.666702

17 April 2006 Nonrectangular wavelets for multiresolution mesh analysis and compression

Kıvanc Köse, A. Enis Çetin, Uğur Güdükbay, Levent Onural

Proceedings Volume 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV; 624704 (2006) https://doi.org/10.1117/12.666702
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

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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