Performance Capture of High-Speed Motion Using Staggered Multi-View Recording

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dc.contributor.authorWu, Dien_US
dc.contributor.authorLiu, Yebinen_US
dc.contributor.authorIhrke, Ivoen_US
dc.contributor.authorDai, Qionghaien_US
dc.contributor.authorTheobalt, Christianen_US
dc.contributor.editorC. Bregler, P. Sander, and M. Wimmeren_US
dc.date.accessioned2015-02-28T08:13:18Z
dc.date.available2015-02-28T08:13:18Z
dc.date.issued2012en_US
dc.description.abstractWe present a markerless performance capture system that can acquire the motion and the texture of human actors performing fast movements using only commodity hardware. To this end we introduce two novel concepts: First, a staggered surround multi-view recording setup that enables us to perform model-based motion capture on motion-blurred images, and second, a model-based deblurring algorithm which is able to handle disocclusion, self-occlusion and complex object motions. We show that the model-based approach is not only a powerful strategy for tracking but also for deblurring highly complex blur patterns.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume31
dc.identifier.doi10.1111/j.1467-8659.2012.03194.x
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2012.03194.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titlePerformance Capture of High-Speed Motion Using Staggered Multi-View Recordingen_US
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