Accurate and robust 3D imaging of specular, or mirror-like, surfaces is crucial in fields such as industrial inspection, medical imaging, virtual reality, and cultural heritage preservation. Yet ...

Computer vision is an interdisciplinary field that seeks to enable machines to interpret and derive meaningful information from visual data. Over the past decades, research in this area has progressed ...

Human pose estimation stands as a pivotal area within computer vision, dedicated to identifying and localising human body keypoints in images or video sequences. This technology underpins a multitude ...

Apple is headed to Nashville next week, where it will showcase new computer vision research and run live technical demos at this year’s IEEE/CVF Conference on Computer Vision and Pattern Recognition.

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

New research has underlined the surprising extent to which pervasive surveillance of people and their habits is powered by computer vision research – and shone a spotlight on how vulnerable ...

Computer Vision (CV) is the field of research and category of applications concerned with teaching machines to see. It involves using AI algorithms to process visual information from cameras and ...

Computer vision at the edge is unlocking actionable insights that produce organizational outcomes in five key areas. Here’s the enabler you need to realize those benefits. AI at the edge can monitor ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...

Left: Schematic of the introduced prototype device for the measurement of specular surfaces, comprised of an unpolarized display and a polarization camera. Right: Measurement example: Object, camera ...