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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-7
Benjamin Huhle , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
Timo Schairer , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
Philipp Jenke , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
Wolfgang Strasser , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
ABSTRACT
We give a brief discussion of denoising algorithms for depth data and introduce a novel technique based on the NL-Means Filter. A unified approach is presented that removes outliers from depth data and accordingly achieves an unbiased smoothing result. This robust denoising algorithm takes intra-patch similarity and optional color information into account in order to handle strong discontinuities and to preserve fine detail structure in the data. We achieve fast computation times with a GPU-based implementation. Results using data from a time-of-flight camera system show a significant gain in visual quality.
CITATION
Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolfgang Strasser, "Robust non-local denoising of colored depth data", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-7, doi:10.1109/CVPRW.2008.4563158
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