Datensatz

Zusammenfassung

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.