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.

3D tracking and machine vision, as represented by this rendered image, underpins the ability of autonomous vehicles and other robots to understand and respond to the world around them. New tech ...

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 ...

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 ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

What if you could transform raw video footage into precise, professional-grade 3D camera movements without spending hours on tedious manual tracking? For filmmakers, visual effects artists, and 3D ...