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 ...

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 ...

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

Google releases new object recognition algorithms to help make apps smarter - SiliconANGLEThe first part of the package involves use of hardware. Computer vision algorithms, like other types of ...

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 ...

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 ...

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 ...

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.

CNN: The Next Frontier for Object Recognition in Embedded Platforms The advent of intelligent vision features in camera-ready smartphones, tablets, wearables, surveillance and automotive systems is ...

"The algorithm only works for handwritten characters currently, but we believe the broader approach based on probabilistic program induction can lead to progress in speech recognition and object ...