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dc.contributor.authorUluğ, Beyazıt
dc.contributor.authorOrcay, Özgür
dc.contributor.authorKonur, Umut
dc.contributor.authorGürgen, Fikret Sadık
dc.date.accessioned2015-09-07T18:49:45Z
dc.date.available2015-09-07T18:49:45Z
dc.date.issued2005
dc.identifier.citationBeyazıt, U., Orcay, O., Konur, U., Gürgen, F.S. (2007). Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systems. In 13th European Signal Processing Conference, 2005. Antalya, Turkey, IEEE.en_US
dc.identifier.isbn9781604238211
dc.identifier.other15037073 (INSPEC)
dc.identifier.urihttp://hdl.handle.net/11376/2068
dc.descriptionOrcay, Özgür (Dogus Author)en_US
dc.description.abstractA large family of lossy 3-D mesh geometry compression schemes operate by predicting the position of each vertex from the coded neighboring vertices and encoding the prediction error vectors. In this work, we first employ entropy constrained extensions of the predictive vector quantization and asymptotically closed loop predictive vector quantization techniques that have been suggested in [3] for coding these prediction error vectors. Then we propose the representation of the prediction error vectors in a local coordinate system with an axis coinciding with the surface normal vector in order to cluster the prediction error vectors around a 2-D subspace. We adopt a least squares approach to estimate the surface normal vector from the non-coplanar, previously coded neighboring vertices. Our simulation results demonstrate that the prediction error vectors can be more efficiently vector quantized by representation in local coordinate systems than in global coordinate systems.en_US
dc.description.sponsorshipEuropean Association for Signal Processing (EURASIP), KAREL, TUBITAK, NORTEL Networks - Business Without Boundaries, ARGELA Technologies.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMesh Geometry Compressionen_US
dc.subjectEntropy Constrained Vector Quantizationen_US
dc.subjectLocal Coordinate Systemen_US
dc.subjectShannon Lower Bounden_US
dc.subjectParallelogram Predictionen_US
dc.titlePredictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systemsen_US
dc.typeconferenceObjecten_US
dc.relation.journal13th European Signal Processing Conference, 2005en_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorIDTR145567en_US
dc.contributor.authorIDTR11301en_US
dc.identifier.startpage1en_US
dc.identifier.endpage4en_US


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