Publication

Graph-based denoising for time-varying point clouds

Pierre Vandergheynst, Johann Paratte, Yann Mikaël Schoenenberger
2015
Conference Papers

Abstract

Noisy 3D point clouds arise in many applications. They may be due to errors when creating a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information between points. This paper introduces a method that uses this graph structure and convex optimization methods to denoise 3D point clouds. A short discussion presents how those methods naturally generalize to time-varying inputs such as 3D point cloud time series.

Official source

https://infoscience.epfl.ch/entities/publication/6e603d3b-857d-42ed-9515-8bb6b1c06fd0

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Graph-based denoising for time-varying point clouds

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