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 ...

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 ...

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 ...

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As a prevailing number of businesses recognize the value of computer vision (CV) in workflow automation, the demand for advanced methods of image analysis is rising. Today’s CV can handle complex ...