A Smart-Object Recognition Algorithm That Doesn’t Need Humans

Artificial Intelligence - A smart-object recognition algorithm that doesn’t need humans

(Credit: BYU Photo)

BYU engineer Dah-Jye Lee has created an algorithm that can accurately identify objects in images or video sequences — without human calibration.

“In most cases, people are in charge of deciding what features to focus on and they then write the algorithm based off that,” said Lee, a professor of electrical and computer engineering. “With our algorithm, we give it a set of images and let the computer decide which features are important.”

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References

Kirt Lillywhite, Dah-Jye Lee, Beau Tippetts, James Archibald, A feature construction method for general object recognition, Pattern Recognition, 2013, DOI: 10.1016/j.patcog.2013.06.002