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dc.contributor.authorGermann, Marcelen_US
dc.contributor.authorPopa, Tiberiuen_US
dc.contributor.authorKeiser, Richarden_US
dc.contributor.authorZiegler, Remoen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.editorP. Cignoni and T. Ertlen_US
dc.date.accessioned2015-02-28T06:52:23Z
dc.date.available2015-02-28T06:52:23Z
dc.date.issued2012en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2012.03011.xen_US
dc.description.abstractWe propose a novel fully automatic method for novel-viewpoint synthesis. Our method robustly handles multicamera setups featuring wide-baselines in an uncontrolled environment. In a first step, robust and sparse point correspondences are found based on an extension of the Daisy features [TLF10]. These correspondences together with back-projection errors are used to drive a novel adaptive coarse to fine reconstruction method, allowing to approximate detailed geometry while avoiding an extreme triangle count. To render the scene from arbitrary viewpoints we use a view-dependent blending of color information in combination with a view-dependent geometry morph. The view-dependent geometry compensates for misalignments caused by calibration errors. We demonstrate that our method works well under arbitrary lighting conditions with as little as two cameras featuring wide-baselines. The footage taken from real sports broadcast events contains fine geometric structures, which result in nice novel-viewpoint renderings despite of the low resolution in the images.en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleNovel-View Synthesis of Outdoor Sport Events Using an Adaptive View-Dependent Geometryen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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