Nonrectangular wavelets for multiresolution mesh analysis and compression

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buir.contributor.authorGüdükbay, Uğur
buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.volumeNumber6247en_US
dc.contributor.authorKöse, Kıvançen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorOnural, Leventen_US
dc.coverage.spatialOrlando, Florida, United Statesen_US
dc.date.accessioned2016-02-08T11:48:18Zen_US
dc.date.available2016-02-08T11:48:18Zen_US
dc.date.issued2006en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 17-21 April 2006en_US
dc.descriptionConference Name: SPIE Defense and Security Symposium, 2006en_US
dc.description.abstractWe 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 ID data stream created by SPIHT algorithm. Nearly perfect reconstruction is possible if full length of 1D data is received.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:48:18Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en_US
dc.identifier.doi10.1117/12.666702en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/11693/27236en_US
dc.language.isoEnglishen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttps://doi.org/10.1117/12.666702en_US
dc.source.titleProceedings of SPIE Vol. 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IVen_US
dc.subject2D Image like mesh representationen_US
dc.subject3D meshesen_US
dc.subjectWavelet transformen_US
dc.subjectAlgorithmsen_US
dc.subjectData reductionen_US
dc.subjectImage compressionen_US
dc.subjectImage reconstructionen_US
dc.subjectOptical resolving poweren_US
dc.titleNonrectangular wavelets for multiresolution mesh analysis and compressionen_US
dc.typeConference Paperen_US

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