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Rigid 3D Geometry Matching for Grasping of Known Objects in Cluttered Scenes
In this paper, we present an efficient 3D object recognition and pose estimation approach for grasping procedures in cluttered and occluded environments. In contrast to common appearance-based approaches, we rely solely on 3D geometry information. Our method is based on a robust geometric descriptor
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