Nonrectangular wavelets for multiresolution mesh analysis and compression

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Nonrectangular wavelets for multiresolution mesh analysis and compression [Dikdörtgensel olmayan dalgacik dönüşümüne dayah çok çözünürlüklü üç boyutlu model analizi ve sikiştirilmasi].pdf (1.28 MB)

Date

2006

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Source Title

2006 IEEE 14th Signal Processing and Communications Applications

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Publisher

IEEE

Volume

2006

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Turkish

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Conference Paper

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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 one-dimensional data stream created by SPIHT algorithm. Nearly perfect reconstruction is possible if all of the data stream is received. © 2006 IEEE.

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Keywords

Data streams , Nonrectangular wavelets , Set Partitioning In Hierarchical Trees (SPIHT) , Wavelet domain data , Algorithms , Data compression , Image reconstruction , Mesh generation , Trees (mathematics) , Multiresolution analysis

Citation

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http://hdl.handle.net/11693/27139

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http://dx.doi.org/10.1109/SIU.2006.1659904

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Department of Electrical and Electronics Engineering
Department of Computer Engineering