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A central axis and radius estimation method for torus object modeling

机译:Torus对象建模的中心轴和半径估计方法

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Industries and homes are being swept up by the tide of automation which began with the development of computers and robots. Since the role of robots has become critical in automation industry, it has become an important issue for robots to behave and make judgments like humans when grabbing things. This study was conducted to accurately find the axis of an object when the object needs to be modeled for robots to make judgments and grabbing objects. Cylindrical objects are not difficult to estimate their axis if they have only one axis, but torus shapes have radii and axes in general. So we suggest a new method for a central axis and radius estimation for torus modeling based on: 1) 3D edge based segmentation (contour), 2) radius estimation using two surface's point normal vectors, 3) find the central axis using histogram analysis and 4) verification from projected 2D image and superquadrics equation. In this paper, we show torus modeling result from central axis and two radii estimation.
机译:行业和家庭正在被自动化的潮流扫除,从而开始了计算机和机器人的发展。由于机器人的作用在自动化行业中变得至关重要,因此它已成为机器人行为的重要问题,并在抓取事物时像人类这样的判断。当对象需要为机器人建模以进行判断和抓取物体时,进行该研究以准确地找到物体的轴。如果它们只有一个轴,则圆柱形物体不难估计它们的轴,但是圆环形状通常具有半径和轴。因此,我们提出了一种基于:1)基于:1)基于Torus建模的中心轴和半径估计的新方法,使用两个表面的点正常向量,3)使用直方图分析找到中心轴和4)从预计的2D图像和Superquadrics方程验证。在本文中,我们向中心轴和两个半径估计显示了Torus建模结果。

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