Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...

Symmetry detection represents a cornerstone in computer vision, fundamentally enhancing object recognition, reconstruction, and classification. Its significance lies in the capacity to identify ...

PhD candidate Khadija Iddrisu discusses the challenge of ‘motion blur’ in computer-vision research and how the tech benefits the sports, medicine and driving sectors. Khadija Iddrisu is in the early ...

With more than 30,000 images of 50,000 people, Meta said its FACET tool can help developers test whether AI computer vision systems are biased. Meta has released a new tool that is designed to detect ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...