基于视觉传感器的腿支撑家具识别

Qing-lin Ma, Chuanbo Zhou, Xin Wang, Shilong Xu
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引用次数: 0

摘要

提出了一种基于顶帽变换的服务机器人特殊拓扑结构对象识别方法。利用该方法可以方便地实现激光测距阵服务机器人对四足物体的检测和识别。首先对一维上的顶帽变换进行了综述,然后对具有特殊拓扑结构的目标提出了自适应阈值识别策略,并对目标识别和定位的一般数据处理进行了提出和分析。实验结果表明,本文提出的基于顶帽变换的目标识别过程是一种有效、准确的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognizing Furniture Supported by Legs Based on Vision Sensor
A method of object recognition for objects with special topological structure is developed based on top-hat transformation for service robot. The objects with four legs are easily detected and recognized by service robot with laser ranger array by this method. First, the top-hat transformation in one dimension is reviewed, then the recognition strategy of self-adapting threshold for objects with special topological structure is proposed, and the general data process for object recognition and position is proposed and analyzed. Experimental results show that the process of object recognition based on top-hat transformation proposed in this article is an effective and accurate application.
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