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.

Region-based methods have become increasingly popular for model-based, monocular 3D tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the-art results, most ...

There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...

Imagine a world where you can track the precise location of an object or person in real time, even in the most complex environments. With the rise of ultra-wideband (UWB) technology, this is no longer ...

Improvements in three-dimensional (3D) scanning have enabled quick and accurate scanning of 3D objects, including cultural heritage objects, as 3D point cloud data. However, conventional ...

The automotive industry continues to be a hotbed of innovation, with activity driven by developments in artificial technology and machine learning, and growing importance of technologies such as ...

The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.

D printing is often celebrated for its ability to produce toys, tools, and prototypes quickly, but the technology can also be ...