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 ...
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 ...
Apple continues to pursue in-air 3D gesture control technology, and on Monday was granted a patent for a machine vision system capable of recognizing human hand gestures with uncanny accuracy. The U.S ...
Your consent to the storage of data ('cookies') is required for the playback of this video on Youtube.com. You can view and change your current data storage settings at any time under privacy.
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 ...
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 ...