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3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects
We propose a method for 3D object reconstruction and 6D-pose estimation from 2D images that uses knowledge about object shape as the primary key.
Feature selection of neural networks is skewed towards the less abstract cue
In particular, we are interested whether the abstraction level of image cues correlating with class membership influences feature selection.
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