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 ...
3D hand pose estimation represents a pivotal research area at the intersection of computer vision and human‐computer interaction. Recent advances have enabled the extraction of intricate hand joint ...
Capturing interactive hand poses in real time and with realistic results is a well-examined problem in computing, particularly human-centered computing and motion capture technology. A global team of ...
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