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Exploring Machine Learning to Reduce Motion Error in Time-of-Flight Range Imaging

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Abstract

Machine learning, enabled by the Fourier shift theorem, is used to restore range images in the presence of transverse motion. The mean absolute error in distance is reduced from, e.g., 0.307 rad to 0.091 rad.

© 2020 The Author(s)

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