Three-dimensional geometric coding using mixture models and the estimation quantization algorithm

dc.contributor.advisorBaraniuk, Richard G.en_US
dc.creatorLavu, Sridharen_US
dc.date.accessioned2009-06-04T08:49:47Zen_US
dc.date.available2009-06-04T08:49:47Zen_US
dc.date.issued2003en_US
dc.description.abstract3D surfaces are used in applications such as animations, 3D object modeling and visualization. The geometries of such surfaces are often approximated using polygonal meshes. This thesis aims to compress 3D geometry meshes by using an algorithm based on normal meshes and the Estimation-Quantization (EQ) algorithm. Normal meshes are multilevel representations where finer level vertices lie in a direction normal to the local surface and therefore compress the vertex data to one scalar value per vertex. A mixture distribution model is used for the wavelet coefficients. The EQ algorithm uses the local neighborhood information and Rate-Distortion optimization to encode the wavelet coefficients. We achieve performance gains of 0.5--1dB compared to the zerotree coder for normal meshes.en_US
dc.format.extent85 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS E.E. 2003 LAVUen_US
dc.identifier.citationLavu, Sridhar. "Three-dimensional geometric coding using mixture models and the estimation quantization algorithm." (2003) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17603">https://hdl.handle.net/1911/17603</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/17603en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectElectronicsen_US
dc.subjectElectrical engineeringen_US
dc.subjectComputer scienceen_US
dc.titleThree-dimensional geometric coding using mixture models and the estimation quantization algorithmen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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