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Object Recognition System Based on Oriented FAST and Rotated BRIEF
Nov 30, 2018

Journal SETSCI Conference Proceedings

Publisher SET Teknoloji (Turkey)

Issue 4

Volume 3

Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificialintelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting anobject recognition system that used ORB (Oriented FAST and Rotated BRIEF) as a feature extraction method, the proposedapproach used as a robot system that performs objects detection and recognition tasks. We used ORB to detect preset features ina given video frame obtained from the camera at real-time and then used Brute-force matcher to match a new video frame featureswith the object image that we want the robot to track it and recognize it. The matched point must have a distance ratio of 0.65.

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