zxz267/HaMuCo
[ICCV 2023] HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
This project helps capture the precise 3D position and orientation of hands from multiple camera views. It takes in 2D images of hands, typically from several cameras, and outputs a 3D model of the hand's pose. This is useful for researchers and developers working on virtual reality, augmented reality, robotics, or human-computer interaction.
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Use this if you need to accurately track human hand movements in 3D space using multiple camera feeds without relying on extensive labeled 3D data.
Not ideal if you only have a single camera view or require real-time, low-latency performance on edge devices without powerful GPUs.
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4
Language
Python
License
MIT
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Last pushed
Feb 29, 2024
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