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 ...

Researchers have developed a wrist-worn device for 3D hand pose estimation. The system consists of a camera that captures images of the back of the hand, and is supported by a neural network called ...

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 ...

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Virtual reality, gaming and robotics rely on computers using depth images from cameras to recognize, understand and replicate actual body movements. Programming a computer to accurately identify hand ...

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 ...