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The ability to perceive and understand 3D scenes is crucial for many applications in computer vision and robotics.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
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Continuous surface embeddings
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Learning orientation distributions for object pose estimation
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PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking
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Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings
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