SIFT Based Approach: Object Recognition and Localization for Pick-and-Place System

Vision based pick and place robotic systems have been the focus of significant research in both academia and industry. The system typically employs machine vision to analyse the scene, identify and locate the specified object and provide feedback to the robot arm for subsequent operations. For successful picking, the vision system needs to recognize the position and the orientation of the objects, the Scale Invariant Feature Transform (SIFT) is used for this purpose. The basis of the proposed work is built around two major areas; object recognition for developing artificial vision system and the robotics for carrying out the specified task with the specified object. In this paper, such object recognition techniques are reviewed.

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