Geometry Compression of Normal Meshes using Rate-Distortion Algorithms

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameEurographics Symposium on Geometry Processingen_US
dc.citation.locationAachen, Germanyen_US
dc.contributor.authorLavu, Sridharen_US
dc.contributor.authorChoi, Hyeokhoen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:51:13Z
dc.date.available2007-10-31T00:51:13Z
dc.date.issued2003-06-01en
dc.date.modified2006-07-05en_US
dc.date.note2004-04-08en_US
dc.date.submitted2003-06-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe propose a new rate-distortion based algorithm for compressing 3D surface geometry represented using triangular normal meshes. We apply the Estimation-Quantization (EQ) algorithm to compress normal mesh wavelet coefficients. The EQ algorithm models the wavelet coefficients as a Gaussian random field with slowly varying standard deviation that depends on the local neighborhood and uses rate-distortion optimal scalar quantizers. We achieve gains of 0.5 to 1 dB with the EQ algorithm compared to the recently proposed zerotree compression for normal meshes.en_US
dc.identifier.citationS. Lavu, H. Choi and R. G. Baraniuk, "Geometry Compression of Normal Meshes using Rate-Distortion Algorithms," 2003.
dc.identifier.urihttps://hdl.handle.net/1911/20051
dc.language.isoeng
dc.subjectNormal meshes*
dc.subjectestimation-qunatization*
dc.subjectgeometry compression*
dc.subject.keywordNormal meshesen_US
dc.subject.keywordestimation-qunatizationen_US
dc.subject.keywordgeometry compressionen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.subject.otherMultiscale Methodsen_US
dc.subject.otherSignal Processing Applicationsen_US
dc.subject.otherMultiscale geometry processingen_US
dc.titleGeometry Compression of Normal Meshes using Rate-Distortion Algorithmsen_US
dc.typeConference paper
dc.type.dcmiText
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