In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, ...

From evening drives to navigating a house or a park in the dark, there are so many situations where it'd be handy to slip on a simple pair of night-vision lenses and the world that's beyond human ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Some computer vision programs have been thrown off by tricks such as manipulating the pixels in an image. MODIFIED FROM ISTOCK.COM / EYEEM MOBILE GMBH Anyone with a computer has been asked to “select ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.