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UCLA researchers release open source code for powerful image detection algorithm

A UCLA Engineering research group has made public the computer code for an algorithm that helps computers process images at high speeds and “see” them in ways that human eyes cannot. The researchers say the code could eventually be used in face, fingerprint and iris recognition for high-tech security, as well as in self-driving cars’ navigation systems or for inspecting industrial products. The algorithm performs a mathematical operation that identifies objects’ edges and then detects and extracts their features. It also can enhance images and recognize objects’ textures. The algorithm was developed by a group led by Bahram Jalali, a UCLA professor of electrical engineering and holder of the Northrop-Grumman Chair in Optoelectronics, and senior researcher Mohammad Asghari.”

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