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dc.contributor.authorWaschbuesch, Michaelen_US
dc.contributor.authorWuermlin, Stephanen_US
dc.contributor.authorGross, Markusen_US
dc.date.accessioned2015-02-21T15:43:11Z
dc.date.available2015-02-21T15:43:11Z
dc.date.issued2007en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2007.01079.xen_US
dc.description.abstract3D video billboard clouds reconstruct and represent a dynamic three-dimensional scene using displacement-mapped billboards. They consist of geometric proxy planes augmented with detailed displacement maps and combine the generality of geometry-based 3D video with the regularization properties of image-based 3D video. 3D video billboards are an image-based representation placed in the disparity space of the acquisition cameras and thus provide a regular sampling of the scene with a uniform error model. We propose a general geometry filtering framework which generates time-coherent models and removes reconstruction and quantization noise as well as calibration errors. This replaces the complex and time-consuming sub-pixel matching process in stereo reconstruction with a bilateral filter. Rendering is performed using a GPU-accelerated algorithm which generates consistent view-dependent geometry and textures for each individual frame. In addition, we present a semi-automatic approach for modeling dynamic three-dimensional scenes with a set of multiple 3D video billboards clouds.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.title3D Video Billboard Cloudsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume26en_US
dc.description.number3en_US
dc.identifier.doi10.1111/j.1467-8659.2007.01079.xen_US
dc.identifier.pages561-569en_US


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