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 ...

Using non-stochastic active features, we now achieve even better performance (agility) using less resources, and without making use of a synchronized inertial measurement unit. Date of creation: ...

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 ...