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.
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 ...
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 have developed a novel 6D pose dataset designed to improve robotic grasping accuracy and adaptability in industrial settings. The dataset, which integrates RGB and depth images, ...
Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant ...
Intelligent Grasping Based on Image Segmentation The core of this patent lies in utilizing image segmentation and object pose estimation technologies to achieve precise grasping of objects. In complex ...
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