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Abstract:
We present a novel algorithm for accurately denoising static and
time-varying range data. Our approach is inspired by
similarity-based non-local image filtering. We show that our
proposed method is easy to implement and outperforms recent
state-of-the-art filtering approaches. Furthermore, it preserves fine
shape features and produces an accurate smoothing result in the
spatial and along the time domain.
