Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

Two new methods of computer object recognition are based around heat diffusion algorithms. When we see a hand, regardless of whether it's open, in a fist, or pointing a finger, we still recognize ...

Computer vision and image recognition are terms that are often used synonymously, but the former encompasses more than just analyzing pictures. That’s because, even for humans, “seeing” also ...

It uses computer vision and image recognition to make its judgments. It may not seem impressive, after all a small child can tell you whether something is a hotdog or not.

Object recognition is one of the most widely studied problems in computer vision. But a robot that manipulates objects in the world needs to do more than just recognize them; it also needs to ...

Computer vision can automate the process, extract that metadata about a video image and then store the metadata without the image. MORE FROM STATETECH: How is artificial intelligence being used in ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

The idea that each person has a particular learning style is a persistent myth in education. But new research provides more evidence that you won’t learn better in one modality than another.