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.

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.

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 ...

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 ...

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.

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 ...

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 ...

Despite working with existing SLAM and object-recognition algorithms, however, and despite using only the output of an ordinary video camera, the system's performance is already comparable to that ...

Camera-based object recognition could help blind users navigate their environment, according to researchers at MIT, who have created an automatic body-worn system. Images are gathered by a chest-worn ...