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Proxy Clouds for RGB-D Stream Processing: A Preview
Author(s) -
Adrien Kaiser,
José Alonso Ybáñez Zepeda,
Tamy Boubekeur
Publication year - 2017
Language(s) - English
DOI - 10.2312/egp20171039
[SWK07] Schnabel R., Wahl R. and Klein R. Efficient RANSAC for Point-Cloud Shape Detection. Computer Graphics Forum 26, 2 (June 2007), 214–226. Modern consumer depth cameras are widely used for 3D capture in indoor environments, for applications such as modeling, robotics or gaming. Nevertheless, their use is limited by their low resolution, with frames often corrupted with noise, missing data and temporal inconsistencies. In order to cope with all these issues, we present Proxy Clouds, a multiplanar superstructure for real-time processing of RGB-D data. By generating a single set of planar proxies from raw RGB-D data and updating it through time, several processing primitives can be applied to improve the quality of the RGB-D stream or lighten further operations. Applications of Proxy Clouds include noise and temporal flickering removal, hole filling, resampling, color processing and compression. Ab st ra ct

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