Three-dimensional object tracking and pose estimation represent a pivotal area of research in computer vision, with applications ranging from augmented reality to autonomous navigation and robotics.

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 ...

Accurately estimating 3D poses and body shapes from a single image is critical for several applications, such as behavior analysis and security alerts. Unfortunately, many existing multi-person ...

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 ...

“This system lets you capture video with your cell phone out in the Alps and do body tracking. Doing this in 3D, in real-time and just with a camera like the one on your mobile device — that is a big ...

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 ...