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Optical Engineering

Denoising of continuous-wave time-of-flight depth images using confidence measures
Author(s): Mario Frank; Matthias Plaue; Fred A. Hamprecht
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Paper Abstract

Time-of-flight range sensors with on-chip continuous-wave correlation of radio frequency-modulated signals are increasingly popular. They simultaneously deliver depth maps and intensity images with noise and systematic errors that are unique for this particular kind of data. Based on recent theoretical findings on the dominating noise processes, we propose specific variants of normalized convolution and median filtering, both adaptive and nonadaptive, to the denoising of the range images. We examine the proposed filters on real-world depth maps with varying reflectivity, structure, overexposure, and illumination. The best results are obtained by adaptive filters that locally adjust the level of smoothing using the estimated modulation amplitude as a measure of confidence.

Paper Details

Date Published: 1 July 2009
PDF: 13 pages
Opt. Eng. 48(7) 077003 doi: 10.1117/1.3159869
Published in: Optical Engineering Volume 48, Issue 7
Show Author Affiliations
Mario Frank, ETH Zürich (Switzerland)
Matthias Plaue, Technische Univ. Berlin (Germany)
Fred A. Hamprecht, Ruprecht-Karls-Univ. Heidelberg (Germany)

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