Capturing and viewing gigapixel images

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KOPF, Johannes, Matt UYTTENDAELE, Oliver DEUSSEN, Michael F. COHEN, 2007. Capturing and viewing gigapixel images. In: ACM Transactions on Graphics. 26(3), 93. ISSN 0730-0301. eISSN 1557-7368. Available under: doi: 10.1145/1239451.1239544

@article{Kopf2007-07-29Captu-39182, title={Capturing and viewing gigapixel images}, year={2007}, doi={10.1145/1239451.1239544}, number={3}, volume={26}, issn={0730-0301}, journal={ACM Transactions on Graphics}, author={Kopf, Johannes and Uyttendaele, Matt and Deussen, Oliver and Cohen, Michael F.}, note={Article Number: 93} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:isPartOf rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:available rdf:datatype="">2017-06-08T14:32:30Z</dcterms:available> <dc:creator>Kopf, Johannes</dc:creator> <dcterms:hasPart rdf:resource=""/> <dc:contributor>Deussen, Oliver</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dc:creator>Cohen, Michael F.</dc:creator> <dcterms:rights rdf:resource=""/> <dcterms:title>Capturing and viewing gigapixel images</dcterms:title> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Cohen, Michael F.</dc:contributor> <bibo:uri rdf:resource=""/> <dspace:hasBitstream rdf:resource=""/> <dc:contributor>Uyttendaele, Matt</dc:contributor> <dc:creator>Deussen, Oliver</dc:creator> <dc:language>eng</dc:language> <dc:contributor>Kopf, Johannes</dc:contributor> <dcterms:issued>2007-07-29</dcterms:issued> <dspace:isPartOfCollection rdf:resource=""/> <dcterms:abstract xml:lang="eng">We present a system to capture and view "Gigapixel images": very high resolution, high dynamic range, and wide angle imagery consisting of several billion pixels each. A specialized camera mount, in combination with an automated pipeline for alignment, exposure compensation, and stitching, provide the means to acquire Gigapixel images with a standard camera and lens. More importantly, our novel viewer enables exploration of such images at interactive rates over a network, while dynamically and smoothly interpolating the projection between perspective and curved projections, and simultaneously modifying the tone-mapping to ensure an optimal view of the portion of the scene being viewed.</dcterms:abstract> <dc:date rdf:datatype="">2017-06-08T14:32:30Z</dc:date> <dc:creator>Uyttendaele, Matt</dc:creator> </rdf:Description> </rdf:RDF>

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