2021
DOI: 10.48550/arxiv.2108.04869
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MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision

Abstract: Recently, huge strides were made in monocular and multi-view pose estimation with known camera parameters, whereas pose estimation from multiple cameras with unknown positions and orientations received much less attention. In this paper, we show how to train a neural model that can perform accurate 3D pose and camera estimation, takes into account joint location uncertainty due occlusion from multiple views, and requires only 2D keypoint data for training. Our method outperforms both classical bundle adjustmen… Show more

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