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

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dc.contributor.advisorBaraniuk, Richard G.
dc.creatorLavu, Sridhar
dc.date.accessioned2009-06-04T08:49:47Z
dc.date.available2009-06-04T08:49:47Z
dc.date.issued2003
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.
dc.format.extent85 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2003 LAVU
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>.
dc.identifier.urihttps://hdl.handle.net/1911/17603
dc.language.isoeng
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.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.subjectComputer science
dc.titleThree-dimensional geometric coding using mixture models and the estimation quantization algorithm
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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