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Albert Murienne

1 accepted papers

2021

L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation With Small Datasets

RA-L 2021

Estimating the 3D pose of an object is a challenging task that can be considered within augmented reality or robotic applications. In this paper, we propose a novel approach to perform 6 DoF object pose estimation from a single RGB-D image. We adopt a hybrid pipeline in two stages: data-driven and g

Cited by 11SourceScholar