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Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints
A novel model-based approach is introduced for real-time detection and tracking of the pose of general articulated objects.
Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues
We propose a novel model-based method for estimating and tracking the six-degrees-of-freedom (6DOF) pose of rigid objects of arbitrary shapes in real-time.
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