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An evaluation of open source surface reconstruction software for robotic applications

Thomas Wiemann, Hendrik Annuth, Kai Lingemann, Joachim Hertzberg

Year
2013
Citations
9

Abstract

With the raising popularity of 3D sensors in robotic applications, e.g., RGB-D cameras or laser scanners, the demand for fast and reliable methods for surface reconstruction from 3D point clouds increases. Currently, several freely available implementations of such algorithms exist. This paper presents an evaluation of the usability of different open source software packages for polygonal map generation in robotic contexts.

Keywords

UsabilityComputer sciencePoint cloudSoftwareRGB color modelOpen sourceOpen source softwareComputer graphics (images)Computer visionArtificial intelligence

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