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Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

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Richardt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Stoll,  Carsten
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Theobalt,  Christian       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Richardt, C., Stoll, C., Dodgson, N. A., Seidel, H.-P., & Theobalt, C. (2012). Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos. Computer Graphics Forum, 31(2), 247-256. doi:10.1111/j.1467-8659.2012.03003.x.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0015-15DF-5
Abstract
Sophisticated video processing effects require both image and geometry information. We explore the possibility to augment a video camera with a recent infrared time-of-flight depth camera, to capture high-resolution RGB and low-resolution, noisy depth at video frame rates. To turn such a setup into a practical RGBZ video camera, we develop efficient data filtering techniques that are tailored to the noise characteristics of IR depth cameras. We first remove typical artefacts in the RGBZ data and then apply an efficient spatiotemporal denoising and upsampling scheme. This allows us to record temporally coherent RGBZ videos at interactive frame rates and to use them to render a variety of effects in unprecedented quality. We show effects such as video relighting, geometry-based abstraction and stylisation, background segmentation and rendering in stereoscopic 3D.