HOT3D releases 833 minutes of hardware-synchronized, egocentric multi-view video from real headsets with motion-capture ground truth for hands and objects, and shows multi-view baselines outperform single-view baselines on three tracking tasks.
Bullock, Thomas Feix, and Aaron M
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HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos
HOT3D releases 833 minutes of hardware-synchronized, egocentric multi-view video from real headsets with motion-capture ground truth for hands and objects, and shows multi-view baselines outperform single-view baselines on three tracking tasks.