Reconstructing Shape and Motion from Asynchronous Cameras

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dc.contributor.authorKlose, Felixen_US
dc.contributor.authorLipski, Christianen_US
dc.contributor.authorMagnor, Marcusen_US
dc.contributor.editorReinhard Koch and Andreas Kolb and Christof Rezk-Salamaen_US
dc.date.accessioned2014-02-01T16:18:36Z
dc.date.available2014-02-01T16:18:36Z
dc.date.issued2010en_US
dc.description.abstractWe present an algorithm for scene flow reconstruction from multi-view data. The main contribution is its ability to cope with asynchronously captured videos. Our holistic approach simultaneously estimates depth, orientation and 3D motion, as a result we obtain a quasi-dense surface patch representation of the dynamic scene. The reconstruction starts with the generation of a sparse set of patches from the input views which are then iteratively expanded along the object surfaces. We show that the approach performs well for scenes ranging from single objects to cluttered real world scenarios.en_US
dc.description.seriesinformationVision, Modeling, and Visualization (2010)en_US
dc.identifier.isbn978-3-905673-79-1en_US
dc.identifier.urihttps://doi.org/10.2312/PE/VMV/VMV10/171-177en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Stereo, Time-varying imageryen_US
dc.titleReconstructing Shape and Motion from Asynchronous Camerasen_US
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