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.

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 ...

Robots are good at making identical repetitive movements, such as a simple task on an assembly line. But they lack the ability to perceive objects as they move through an environment. A recent study ...

SAN FRANCISCO--(BUSINESS WIRE)--Unity, the world’s leading platform for creating and operating real-time 3D (RT3D) content, today released its Object Pose Estimation demonstration, which combines the ...

Researchers from SIT, Japan, developed a novel dataset to enhance robotic precision in 6D pose estimation, improving pick-and-place tasks in industrial settings. Accurate object pose estimation refers ...

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 ...