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 ...

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 ...

Mercedes-Benz Group has patented a method for identifying hand poses in vehicles using neural networks. The technology involves extracting hand images from vehicle images, processing contextual images ...

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. Human hands are ...