In 1991, Microsoft founder Bill Gates put up his company's specialized research arm The aptly named Microsoft Research was to be the vehicle to fulfill Gates' "vision that computers would one day see, ...

Regardless of what algorithm was used, once we've isolated a face in a photo, we can apply more specialized computer vision algorithms to pinpoint facial landmarks, like the tip of the nose and ...

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 ...

Agencies are interested in using computer vision to enhance their missions and improve security. But what is computer vision technology, and how can feds use it? An interior view of the atrium in the ...

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

Researchers say they've found evidence of pervasive bias in computer vision algorithms trained on ImageNet, a popular photo dataset.

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 ...

*Not like this robot-vision stuff is hard work by engineers, or anything. Efficiently solving multi-label MRFs (Readme) (C/C++ code) Segmentation, object category labelling, stereo Multi-label ...

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 ...