Publication:
3D progressive compression with octree particles

dc.contributor.coauthorSchmitt, Francis
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorYemez, Yücel
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-10T00:11:36Z
dc.date.issued2002
dc.description.abstractThis paper improves the storage efficiency of the progressive particle-based modeling scheme presented in [14, 15] by using entropy coding techniques. This scheme encodes the surface geometry and attributes in terms of appropriately ordered oc-tree particles, which can then progressively be decoded and rendered by the-viewer by means of a fast direct triangulation technique. With the introduced entropy coding technique, the bitload of the multi-level representation for geometry encoding reduces to 9-14 bits per particle (or 4.5-7 bits per triangle) for 12-bit quantized geometry.
dc.description.indexedbyWOS
dc.description.openaccessNO
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.isbn3-89838-034-3
dc.identifier.urihttps://hdl.handle.net/20.500.14288/17512
dc.identifier.wos189483600020
dc.language.isoeng
dc.publisherAkademische Verlagsgesellsch Aka Gmbh
dc.relation.ispartofVision Modeling, and Visualization 2002, Proceedings
dc.subjectComputer Science
dc.subjectArtificial intelligence
dc.subjectSoftware engineering
dc.subjectImaging systems
dc.subjectPhotography
dc.title3D progressive compression with octree particles
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorYemez, Yücel
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Computer Engineering
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relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae
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