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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-7
Wolfgang Strasser , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
Philipp Jenke , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
Benjamin Huhle , University of Tübingen, WSI/GRIS, Sand 14, 72076, Germany
Timo Schairer , 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.
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CITATION
Wolfgang Strasser, Philipp Jenke, Benjamin Huhle, Timo Schairer, "Robust non-local denoising of colored depth data", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-7, 2008, doi:10.1109/CVPRW.2008.4563158
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