Before deep learning, creating computer vision algorithms that could process medical images required extensive efforts from software engineers and subject matter experts.

“Our computer vision technology and software solutions together with the power and performance efficiencies of the CEVA-MM3101 DSP enable battery-powered devices to support a range of newly developed ...

Computer vision algorithms detect facial features in images and compare them with databases of face profiles. Consumer devices use facial recognition to authenticate the identities of their owners.

Computer vision algorithms can detect anomalies and predict outcomes, even estimating treatment costs based on jaw images. Computer vision aids in surgery by converting broken bone MRIs into 3D ...

With the rapid advancement of technology, computer vision has gradually emerged in various industries, particularly in the fruit and vegetable sector, where its application prospects are particularly ...

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Microsoft Research has become one of the most accomplished labs in artificial intelligence (AI) development. The computer vision algorithms it has pioneered have achieved substantial success.

However, you might not know that beneath their shiny exteriors, a revolution regarding 'aesthetics' is quietly taking place. This revolution is closely related to us; it concerns the food safety and ...

The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation.