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首页> 外文期刊>International Journal of Mechatronics and Automation >Verification of unique cloth handling performance based on 3D recognition accuracy of cloth by dual-eyes cameras with photo-model-based matching
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Verification of unique cloth handling performance based on 3D recognition accuracy of cloth by dual-eyes cameras with photo-model-based matching

机译：双眼相机基于3D识别精度与基于光模型匹配的三维识别精度验证

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摘要

Nowadays, innovative robotic technology has been implemented in the garment companies. However, robots have been confronted with difficulties in recognising and handling deformable object such as cloth, string etc., especially if the object is unique. Specifically, the cloth placed in front of the robot is rightly the intended one to be handled and to pick and place (handle) at a designated position automatically are two main problems during 3D cloth recognition and handling performance by a robot. In this paper, model generation method from cloth photograph and model-based matching method (recognition method) utilising Genetic Algorithm (GA) are presented. The proposed system uses dual-eyes cameras to recognise the target cloth and estimate the pose of that cloth for handling. The proposed system is used to verify the 3D handling under predetermining position and orientation range. 100 times handling experiment has been executed, having shown the effectiveness of proposed photo-model-based cloth recognition system.
机译：如今，服装公司已实施创新机器人技术。然而，在识别和处理可变形的物体之类的情况下，机器人已经面对难以识别和处理布，弦等，特别是如果对象是唯一的。具体地，放置在机器人前面的布是正确的，是要处理的预期，并且在指定位置处自动拾取和放置（手柄）是3D布识别和机器人处理性能的两个主要问题。本文介绍了利用遗传算法（GA）的布照片和基于模型的匹配方法（识别方法）的模型生成方法。所提出的系统使用双眼镜识别目标布并估计该布料的姿势以处理。所提出的系统用于验证在预先确定位置和方向范围下的3D处理。已经执行了100次处理实验，示出了所提出的基于光模的布料识别系统的有效性。

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