Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...
Researchers at Tokyo Institute of Technology (Tokyo Tech) working in collaboration with colleagues at Carnegie Mellon University, the University of St Andrews and the University of New South Wales ...
The proposed framework will enable robots to accurately and more efficiently handle complex objects, while also advancing augmented reality technologies to support more lifelike hand-object ...
Tokyo Institute of Technology. "3D hand pose estimation using a wrist-worn camera." ScienceDaily. www.sciencedaily.com / releases / 2020 / 10 / 201021111546.htm (accessed February 15, 2026).
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