SOURCE-LINKED INTELLIGENCE
MEgoVista: Multi-view Ego-aware Motion Estimation for Metric 4D Hands and Head in the Wild
Learning manipulation from human video requires high-fidelity hand-motion reconstruction in metric units. Today's metric hand labels come from studio rigs and instrumented headsets, and both are confined in the same two ways: neither leaves a prepared setting, and neither is checked against an independent reference. Unconstrained head-worn recording promises the opposite trade-off, scaling with the number of people wearing a device. We therefore introduce MEgoVista, an offline pipeline that turns a single unprepared MEgo View recording into metric two-hand and head motion in one gravity-aligne
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T06:04:50.000Z
First collected: 2026-09-20T09:01:24.920Z. This is not the publication date.