Ellipse detection and fitting constitute essential components in the computer vision toolkit, enabling the precise localisation of elliptical shapes within images. Recent methodological advances ...

The education sector has long treated every student the same. However, every student is unique and has different learning capabilities. The use of computer vision in education can help to maximize ...

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 ...

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 ...

Boosting the performance of solar cells, transistors, LEDs, and batteries will require better electronic materials, made from novel compositions that have yet to be discovered. To speed up the search ...

Many of today's businesses have recognized the benefits of AI. McKinsey reports that computer vision ranks second among all other AI solutions in terms of application, and Statista research predicts ...

Made of silicon, these in-sensor visual processing arrays can both capture and process visual data in the analog domain, as opposed to conventional systems that often physically separate these ...

State-of-the-art image-classifying AI models trained on ImageNet, a popular (but problematic) dataset containing photos scraped from the internet, automatically learn humanlike biases about race, ...

A new study by researchers from The University of Western Australia has used computer vision to reconstruct the false illusion of 3D shapes created by moth wing patterns. The research, published in ...