Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt, Carsten Stoll, Neil Dodgson, Hans-Peter Seidel, Christian Theobalt

Research output: Contribution to journalArticlepeer-review

110 Citations (SciVal)


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.
Original languageEnglish
Pages (from-to)247-256
Number of pages10
JournalComputer Graphics Forum
Issue number2
Publication statusPublished - May 2012


Dive into the research topics of 'Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos'. Together they form a unique fingerprint.

Cite this