Scientists at Brigham Young University (BYU) have developed an algorithm that can accurately identify objects in images or videos and can learn to recognize new objects on its own.

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.

BYU engineer Dah-Jye Lee isn’t interested in that development, but he has managed to eliminate the need for humans in the field of object recognition. Lee has created an algorithm that can accurately ...

A team of researchers specializes in SLAM, or simultaneous localization and mapping, the technique whereby mobile autonomous robots map their environments and determine their locations. Now these ...

Robots' maps of their environments can make existing object-recognition algorithms more accurate.

Enabling a mobile app to analyze images is as easy as integrating it with one of the numerous cloud-based object recognition services on the market. But sending files to a remote data center for ...

In December, CSAIL researchers will present a new way of using machine learning at the annual Conference on Neural Information Processing Systems. Built on a new object-recognition algorithm, this ...

Helping robots recognize common objects may bring household robot help one step closer. MIT researchers develop computer algorithm that can help such a robot quickly identify objects it would need ...

BYU engineer Dah-Jye Lee has created an object recognition algorithm that can accurately identify objects in images or video sequences all by itself, without any human help. According to Lee, the ...

Smart object recognition algorithm doesn't need humans Date: January 16, 2014 Source: Brigham Young University Summary: If we've learned anything from post-apocalyptic movies it's that computers ...

Then they'll run a recognition algorithm on just the pixels inside each rectangle. To get a good result, a classical object-recognition system may have to redraw those rectangles thousands of times.