4D imaging through spray-on optics


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ISERINGHAUSEN, Julian, Bastian GOLDLÜCKE, Nina PESHEVA, Stanimir ILIEV, Alexander WENDER, Martin FUCHS, Matthias B. HULLIN, 2017. 4D imaging through spray-on optics. In: ACM Transactions on Graphics. 36(4), 35. ISSN 0730-0301. eISSN 1557-7368

@article{Iseringhausen2017-07-20imagi-39834, title={4D imaging through spray-on optics}, year={2017}, doi={10.1145/3072959.3073589}, number={4}, volume={36}, issn={0730-0301}, journal={ACM Transactions on Graphics}, author={Iseringhausen, Julian and Goldlücke, Bastian and Pesheva, Nina and Iliev, Stanimir and Wender, Alexander and Fuchs, Martin and Hullin, Matthias B.}, note={Article Number: 35} }

<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/123456789/39834"> <dc:creator>Pesheva, Nina</dc:creator> <dc:creator>Fuchs, Martin</dc:creator> <dcterms:issued>2017-07-20</dcterms:issued> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-08-10T12:19:48Z</dcterms:available> <dc:creator>Wender, Alexander</dc:creator> <dc:creator>Goldlücke, Bastian</dc:creator> <dcterms:abstract xml:lang="eng">Light fields are a powerful concept in computational imaging and a mainstay in image-based rendering; however, so far their acquisition required either carefully designed and calibrated optical systems (micro-lens arrays), or multi-camera/multi-shot settings. Here, we show that fully calibrated light field data can be obtained from a single ordinary photograph taken through a partially wetted window. Each drop of water produces a distorted view on the scene, and the challenge of recovering the unknown mapping from pixel coordinates to refracted rays in space is a severely underconstrained problem. The key idea behind our solution is to combine ray tracing and low-level image analysis techniques (extraction of 2D drop contours and locations of scene features seen through drops) with state-of-the-art drop shape simulation and an iterative refinement scheme to enforce photo-consistency across features that are seen in multiple views. This novel approach not only recovers a dense pixel-to-ray mapping, but also the refractive geometry through which the scene is observed, to high accuracy. We therefore anticipate that our inherently self-calibrating scheme might also find applications in other fields, for instance in materials science where the wetting properties of liquids on surfaces are investigated.</dcterms:abstract> <dc:creator>Iseringhausen, Julian</dc:creator> <dc:contributor>Iliev, Stanimir</dc:contributor> <dc:contributor>Wender, Alexander</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/39834"/> <dc:contributor>Hullin, Matthias B.</dc:contributor> <dc:contributor>Fuchs, Martin</dc:contributor> <dc:contributor>Goldlücke, Bastian</dc:contributor> <dc:contributor>Pesheva, Nina</dc:contributor> <dc:contributor>Iseringhausen, Julian</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-08-10T12:19:48Z</dc:date> <dcterms:title>4D imaging through spray-on optics</dcterms:title> <dc:language>eng</dc:language> <dc:creator>Hullin, Matthias B.</dc:creator> <dc:creator>Iliev, Stanimir</dc:creator> </rdf:Description> </rdf:RDF>

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