基于改进随机蕨的移动机器人物体识别算法

Object Recognition Algorithm Based on Improved Random Fern for Intelligent Mobile Robot

物体识别是智能移动机器人的重要功能之一,针对计算机视觉领域移动机器人在约束场景,如低图像分辨率,运动模糊和背景杂乱等相关研究比较少的现状,根据移动机器人捕获图像的特点,对随机蕨算法的参数进行了调整,并对匹配标准进行了改进,取得了较好的识别正确率。该算法实时性较好,适用于移动机器人的物体识别。

Object recognition is one of the important functions of the intelligent mobile robot and has been considerable research in the field of computer vision.But research on object recognition algorithm for mobile robot in constrained scenes,such as low image resolution,motion blur and background clutter etc,is still relatively poor.Based on the image capture by mobile robot,the parameters of the algorithm of random fern were adjusted and the match standard was improved to obtain better recognition accuracy.The algorithm is better suited to real-time object recognition for a mobile robot.