Compression of textured surfaces represented as surfel sets


Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

DAROM, T., Mauro Roberto RUGGERI, Dietmar SAUPE, Nahum KIRYATI, 2006. Compression of textured surfaces represented as surfel sets. In: Signal Processing: Image Communication. 21(9), pp. 770-786. ISSN 0923-5965. eISSN 1879-2677. Available under: doi: 10.1016/j.image.2006.07.003

@article{Darom2006Compr-22214, title={Compression of textured surfaces represented as surfel sets}, year={2006}, doi={10.1016/j.image.2006.07.003}, number={9}, volume={21}, issn={0923-5965}, journal={Signal Processing: Image Communication}, pages={770--786}, author={Darom, T. and Ruggeri, Mauro Roberto and Saupe, Dietmar and Kiryati, Nahum} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Ruggeri, Mauro Roberto</dc:contributor> <dcterms:bibliographicCitation>Signal Processing : Image Communication ; 21 (2006), 9. - S. 770-786</dcterms:bibliographicCitation> <dcterms:isPartOf rdf:resource=""/> <dc:rights>terms-of-use</dc:rights> <dc:creator>Darom, T.</dc:creator> <dcterms:available rdf:datatype="">2013-04-16T10:26:51Z</dcterms:available> <dcterms:issued>2006</dcterms:issued> <dc:contributor>Saupe, Dietmar</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:abstract xml:lang="eng">A method for lossy compression of genus-0 surfaces is presented. Geometry, texture and other surface attributes are incorporated in a uni ed manner. The input surfaces are represented by surfels (surface elements), i.e., by a set of disks with attributes. Each surfel, with its attribute vector, is optimally mapped onto a sphere in the sense of geodesic distance preservation. The resulting spherical vector-valued function is resampled. Its components are decorrelated by the Karhunen-Lo eve transform, represented by spherical wavelets and encoded using the zerotree algorithm. Methods for geodesic distance computation on surfel-based surfaces are considered. A novel e cient approach to dense surface attening/mapping, using rectangular distance matrices, is employed. The distance between each surfel and a set of key-surfels is optimally preserved, leading to greatly improved resolution and eliminating the need for interpolation, that complicates and slows down existing surface unfolding methods. Experimental surfel-based surface compression results demonstrate successful compression at very low bit rates.</dcterms:abstract> <dcterms:rights rdf:resource=""/> <dc:creator>Kiryati, Nahum</dc:creator> <dc:contributor>Darom, T.</dc:contributor> <dcterms:title>Compression of textured surfaces represented as surfel sets</dcterms:title> <bibo:uri rdf:resource=""/> <dc:creator>Ruggeri, Mauro Roberto</dc:creator> <dc:contributor>Kiryati, Nahum</dc:contributor> <dc:creator>Saupe, Dietmar</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource=""/> <dc:date rdf:datatype="">2013-04-16T10:26:51Z</dc:date> <dc:language>eng</dc:language> </rdf:Description> </rdf:RDF>

Das Dokument erscheint in:

KOPS Suche


Mein Benutzerkonto