An Efficient Octree Design for Local Variational Range Image Fusion

Cite This

Files in this item

Files Size Format View

There are no files associated with this item.

MARNIOK, Nico, Ole JOHANNSEN, Bastian GOLDLUECKE, 2017. An Efficient Octree Design for Local Variational Range Image Fusion. 39th German Conference : GCPR 2017 Proceedings. Basel, Switzerland, Sep 12, 2017 - Sep 15, 2017. In: ROTH, Volker, ed., Thomas VETTER, ed.. Pattern Recognition. Cham:Springer, pp. 401-412. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-66708-9. Available under: doi: 10.1007/978-3-319-66709-6_32

@inproceedings{Marniok2017Effic-42780, title={An Efficient Octree Design for Local Variational Range Image Fusion}, year={2017}, doi={10.1007/978-3-319-66709-6_32}, number={10496}, isbn={978-3-319-66708-9}, issn={0302-9743}, address={Cham}, publisher={Springer}, series={Lecture Notes in Computer Science}, booktitle={Pattern Recognition}, pages={401--412}, editor={Roth, Volker and Vetter, Thomas}, author={Marniok, Nico and Johannsen, Ole and Goldluecke, Bastian} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/42780"> <dcterms:issued>2017</dcterms:issued> <dc:contributor>Marniok, Nico</dc:contributor> <dc:creator>Johannsen, Ole</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-07-04T16:38:02Z</dcterms:available> <dc:creator>Goldluecke, Bastian</dc:creator> <dc:contributor>Goldluecke, Bastian</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/42780"/> <dcterms:abstract xml:lang="eng">We present a reconstruction pipeline for a large-scale 3D environment viewed by a single moving RGB-D camera. Our approach combines advantages of fast and direct, regularization-free depth fusion and accurate, but costly variational schemes. The scene’s depth geometry is extracted from each camera view and efficiently integrated into a large, dense grid as a truncated signed distance function, which is organized in an octree. To account for noisy real-world input data, variational range image integration is performed in local regions of the volume directly on this octree structure. We focus on algorithms which are easily parallelizable on GPUs, allowing the pipeline to be used in real-time scenarios where the user can interactively view the reconstruction and adapt camera motion as required.</dcterms:abstract> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Marniok, Nico</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dcterms:title>An Efficient Octree Design for Local Variational Range Image Fusion</dcterms:title> <dc:contributor>Johannsen, Ole</dc:contributor> <dc:language>eng</dc:language> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-07-04T16:38:02Z</dc:date> </rdf:Description> </rdf:RDF>

This item appears in the following Collection(s)

Search KOPS


Browse

My Account