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A Fuzzy Approach for Vision-Based Object Perception in Robot Telecontrol

机译:一种基于视觉的对象感知机器人电信控制的模糊方法

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For human being the object perception process is often conducted in a non-crisp manner, in which vagueness plays one of the pivot roles. In this paper, we propose a Fuzzy logic based approach for vision-based object perception in enhanced reality, supported by a shape repository. By means of defining the Fuzzy matching and reasoning rules, the proposed approach is capable of supporting the Fuzzy decision making process in finding the matching shape model in the repository. Experiment results confirm that the proposed method is both valid and effective in the designated application.
机译:对于人来说,对象感知过程通常以非清晰的方式进行,其中模糊性扮演枢轴角色之一。在本文中,我们提出了一种基于模糊的基于视觉的对象感知方法,其在增强的现实中得到了形状存储库的支持。通过定义模糊匹配和推理规则,所提出的方法能够支持在存储库中找到匹配形状模型的模糊决策过程。实验结果证实,在指定的应用中,该方法既有效又有效。

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