Single Shot 6D Object Pose Estimation

27 Apr 2020Kilian KleebergerMarco F. Huber

In this paper, we introduce a novel single shot approach for 6D object pose estimation of rigid objects based on depth images. For this purpose, a fully convolutional neural network is employed, where the 3D input data is spatially discretized and pose estimation is considered as a regression task that is solved locally on the resulting volume elements... (read more)

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