Compression of textured surfaces represented as surfel sets

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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

@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:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/22214"> <dcterms:bibliographicCitation>Signal Processing : Image Communication ; 21 (2006), 9. - S. 770-786</dcterms:bibliographicCitation> <dc:contributor>Ruggeri, Mauro Roberto</dc:contributor> <dc:creator>Darom, T.</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-04-16T10:26:51Z</dcterms:available> <dcterms:issued>2006</dcterms:issued> <dc:rights>deposit-license</dc:rights> <dc:contributor>Saupe, Dietmar</dc:contributor> <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> <dc:contributor>Darom, T.</dc:contributor> <dc:creator>Kiryati, Nahum</dc:creator> <dcterms:title>Compression of textured surfaces represented as surfel sets</dcterms:title> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22214"/> <dc:contributor>Kiryati, Nahum</dc:contributor> <dc:creator>Saupe, Dietmar</dc:creator> <dc:creator>Ruggeri, Mauro Roberto</dc:creator> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-04-16T10:26:51Z</dc:date> <dc:language>eng</dc:language> </rdf:Description> </rdf:RDF>

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