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Finding cones from multiscan range maps

机译:从多扫描范围图查找圆锥

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摘要

Abstract: Two algorithms are presented to locate a cone with a known shape from a range scan map. They are ellipse fitting and three-scan methods. The localization problem includes the finding of both cone's orientation and displacement relative to the sensing coordinate system. The work described in this paper is an extension to the problem of extracting the cylinder parameters from a depth scan map. The range data are obtained from either a light-stripe based range sensor or a line range sensor, which measures the distance between the sensor and the nearest points on the intersection of the light plane and the scene. The three- scan method uses range data from three scan lines of measurements. It does not use any ellipse fitting. This method first extracts the orientation parameters of at least three cone's generators and then derive the axis direction vector from the cone's generators. The performance of this method is compared with the usual ellipse fitting method.!8
机译:摘要:提出了两种算法,可以从范围扫描图中找到具有已知形状的圆锥。它们是椭圆拟合和三扫描方法。定位问题包括发现圆锥相对于传感坐标系的方向和位移。本文描述的工作是对从深度扫描图中提取圆柱体参数的问题的扩展。距离数据可从基于光条的距离传感器或线距离传感器获得,后者测量传感器与光平面和场景的交点上的最近点之间的距离。三扫描法使用来自三条测量扫描线的距离数据。它不使用任何椭圆拟合。该方法首先提取至少三个圆锥体生成器的方向参数,然后从圆锥体生成器导出轴方向矢量。将该方法的性能与常规的椭圆拟合方法进行了比较!8

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