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A Method of Regular Objects Recognition from 3D Laser Point Cloud

机译:一种基于3D激光点云的常规物体识别方法

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Outside and inside scenes are usually made of regular surfaces such as plane, spherical surface, cylindrical surface, and so on. While we capture 3D data of the real scenes using the laser scanner, 3D laser point cloud includes a lot of, regular surfaces. So we presented a method recognizes the plane, spherical and cylindrical surface based on normal and curvature. We used Coordinate Transformation method (CT) to solve normal and curvature; used linear octree improve the computing efficiency of general CT method. We gave the experiment for testing the robustness of the algorithm.
机译:外部和内部场景通常由规则表面组成,例如平面,球面,圆柱面等。当我们使用激光扫描仪捕获真实场景的3D数据时,3D激光点云包括许多规则的表面。因此,我们提出了一种基于法线和曲率识别平面,球面和圆柱面的方法。我们使用坐标变换法(CT)求解法线和曲率。使用线性八叉树提高了常规CT方法的计算效率。我们给出了测试算法鲁棒性的实验。

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