Motion Field Estimation from Alternate Exposure Images

Zitieren

Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

SELLENT, Anita, Martin EISEMANN, Bastian GOLDLÜCKE, Daniel CREMERS, 2011. Motion Field Estimation from Alternate Exposure Images. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(8), pp. 1577-1589. ISSN 0162-8828. eISSN 1939-3539

@article{Sellent2011Motio-29097, title={Motion Field Estimation from Alternate Exposure Images}, year={2011}, doi={10.1109/TPAMI.2010.218}, number={8}, volume={33}, issn={0162-8828}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, pages={1577--1589}, author={Sellent, Anita and Eisemann, Martin and Goldlücke, Bastian and Cremers, Daniel} }

<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/123456789/29097"> <dc:creator>Eisemann, Martin</dc:creator> <dc:creator>Goldlücke, Bastian</dc:creator> <dc:creator>Sellent, Anita</dc:creator> <dc:creator>Cremers, Daniel</dc:creator> <dc:contributor>Goldlücke, Bastian</dc:contributor> <dcterms:abstract xml:lang="eng">Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-exposed images integrate motion information directly in the form of motion-blur. With this additional information, more robust and accurate motion fields can be estimated. In addition, the moment of occlusion can be determined. Considering the basic signal-theoretical problem in motion field estimation, we exploit the fact that long-exposed images integrate motion information to prevent temporal aliasing. A suitable image formation model relates the long-exposed image to preceding and succeeding short-exposed images in terms of dense 2D motion and per-pixel occlusion/disocclusion timings. Based on our image formation model, we describe a practical variational algorithm to estimate the motion field not only for visible image regions but also for regions getting occluded. Results for synthetic as well as real-world scenes demonstrate the validity of the approach.</dcterms:abstract> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-08T09:59:35Z</dc:date> <dcterms:issued>2011</dcterms:issued> <dcterms:title>Motion Field Estimation from Alternate Exposure Images</dcterms:title> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29097"/> <dc:language>eng</dc:language> <dc:contributor>Sellent, Anita</dc:contributor> <dc:contributor>Cremers, Daniel</dc:contributor> <dc:contributor>Eisemann, Martin</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-08T09:59:35Z</dcterms:available> </rdf:Description> </rdf:RDF>

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto