Machine learning is capable of doing all sorts of things as long as you have the data to teach it how. That’s not always easy, and researchers are always looking for a way to add a bit of “common ...

Future autonomous vehicle and other machine intelligence systems might not need line-of-sight to gather incredibly detailed image data: New research from Carnegie Mellon University, the University of ...

Get the latest federal technology news delivered to your inbox. The Air Force Research Laboratory is deepening its exploration of commercial computer vision, or technology that is essentially training ...

Artificial intelligence researchers at Meta Platforms Inc. said today that they’re hoping to democratize a key aspect of computer vision. It’s known as “segmentation,” which refers to the ability to ...

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 ...

Addressing problems of bias in artificial intelligence, computer scientists have developed methods to obtain fairer data sets containing images of people. The researchers propose improvements to ...

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.

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 ...

Depth estimation and shape from focus (SFF) techniques remain at the forefront of computer vision research, addressing the challenge of recovering three-dimensional structural information from ...

Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. Computers back in the day were good at understanding numbers yet ...

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 ...