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首页> 外文期刊>Instrumentation and Measurement, IEEE Transactions on >Vision-Based Measurement for Localization of Objects in 3-D for Robotic Applications
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Vision-Based Measurement for Localization of Objects in 3-D for Robotic Applications

机译:用于机器人应用的3-D对象定位的基于视觉的测量

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摘要

Stereo vision is widely used in many 3-D image applications. In this paper, we present a methodology to estimate the localization of objects in 3-D scenes using collaborative robots. Using this method, the robots are able to measure the location of objects using only a single camera installed on each one of them. From one pair of images, each one acquired by a different robot, the method locates homologous points, and then rebuilds the object by using equations for coordinate transformations. The experimental results validate the application of the proposed method for the measurement of the pose of objects in autonomous robotic applications.
机译:立体视觉广泛用于许多3D图像应用中。在本文中,我们提出了一种使用协作机器人估算3D场景中对象定位的方法。使用这种方法,机器人仅使用安装在每个物体上的单个摄像机即可测量物体的位置。该方法从一对图像(每个图像由不同的机器人获取)中定位同源点,然后使用方程式进行坐标转换来重建对象。实验结果验证了该方法在自主机器人应用中物体姿态测量中的应用。

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