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The recent emergence of deep learning and computer vision-based 3D human pose estimation presents opportunities for a form of markerless motion-capture. State-of-the-art approaches have achieved remarkable accuracy in predicting global and relative joint positions, however, many potential applications require information on joint orientations, e.g., in the fields of biomechanics. Furthermore, me
