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Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos
Author(s) -
Richardt Christian,
Stoll Carsten,
Dodgson Neil A.,
Seidel HansPeter,
Theobalt Christian
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03003.x
Subject(s) - upsampling , computer science , computer vision , rendering (computer graphics) , artificial intelligence , computer graphics (images) , rgb color model , video post processing , segmentation , video processing , frame rate , stereoscopy , multiview video coding , video tracking , image (mathematics)
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.