Comparative Analysis of Interest Point Detectors Algorithms on Robotic Operative System

Francisco Javier Valdepeña Rivera, Dante Mújica-Vargas, M. Ruiz
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Abstract

Applications of robotic vision have had great advances within the artificial intelligence through the processing of images, as well as the automated systems (robots). A comparative analysis of some interest point detector algorithms will be performed, the next analysis will be about a robotic operating system called ROS, by means of a 2D object detector system. For this purpose, a physical architecture will be carried out to carry out the experimentation within a controlled work environment, in order to demonstrate which algorithm will work best in the future for the development of object recognition systems, implementing this system on Robots.
机器人操作系统兴趣点检测器算法的比较分析
机器人视觉的应用通过图像处理在人工智能以及自动化系统(机器人)中取得了很大的进步。本文将对一些兴趣点检测器算法进行比较分析,下一个分析将是一个名为ROS的机器人操作系统,通过一个二维目标检测器系统。为此,将在受控的工作环境中进行物理架构来进行实验,以证明哪种算法在未来的目标识别系统开发中最有效,并在机器人上实现该系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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