r00tman/EventHands
Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]
This project helps researchers and robotics engineers understand and track precise human hand movements in real-time. By taking continuous data from specialized event-based cameras, it can output a detailed 3D pose of a hand. This is particularly useful for those developing human-computer interaction systems or advanced robotics.
No commits in the last 6 months.
Use this if you are developing non-commercial applications that require real-time, accurate 3D hand pose estimation from event-based camera data.
Not ideal if your project involves standard frame-based cameras, requires commercial use, or focuses on full-body pose estimation.
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41
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8
Language
C++
License
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Last pushed
May 29, 2022
Commits (30d)
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