Deep learning algorithms for object recognition are raising the computational bar once more, and that requires a new class of intelligent vision processors that can augment the processing efficiency ...

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 ...

Despite this, the researchers ay the algorithm has performed as well or better in object recognition tests than other leading object recognition algorithms.

AI image recognition has made some stunning advances, but as new research shows, the systems can still be tripped up by examples that would never fool a person. Labsix, a group of MIT students who ...

The BYU algorithm tested as well or better than other top object recognition algorithms to be published, including those developed by NYU's Rob Fergus and Thomas Serre of Brown University.

The process of identifying objects and understanding the world through the images collected from digital cameras is often referred to as 'computer vision' or 'machine vision.' ...

Geometric camera constraint - Minimal Problems in Computer Vision Minimal problems in computer vision arise when computing geometrical models from image data.

Object recognition for robots Robots' maps of their environments can make existing object-recognition algorithms more accurate Date: July 24, 2015 Source: Massachusetts Institute of Technology ...

The BYU algorithm tested as well or better than other top object recognition algorithms to be published, including those developed by NYU's Rob Fergus and Thomas Serre of Brown University.

Specializations Computer Vision and Image Processing Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern ...