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Image-Based Approach to Generation of Offset Curves from Point Cloud

机译:基于图像的点云偏移曲线生成方法

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In this paper, an image-based approach for the generation of offset curves from point cloud is presented. The offset curves/surfaces can be applied to refine the prototype produced by using the rapid prototype method to remedy the potential low precise problem. To reduce the computational complexion, in the approach, the cloud data is segmented into a number of layers by slicing the point cloud along a user-specified direction, i.e. machining direction. The data points in each layer are projected onto a plane that is perpendicular to the machining direction. Furthermore, the data points on the place are transformed into grey-level values on a two dimensional space based on the distance away from the plane. After that, the offset curves can be directly computed by using the linear diffusion-based segmentation method. Although a perfect result hasn't be achieved, the numerical experimental result shows that the proposed approach is more prospective than the existing ones. One of most advantages is more efficiency and with much less computational cost.
机译:在本文中,提出了一种基于图像的从点云生成偏移曲线的方法。可以使用偏移曲线/曲面来完善通过使用快速原型方法来补救可能的低精度问题的原型。为了减少计算复杂度,在该方法中,通过沿用户指定的方向(即加工方向)切片点云,将云数据分割为多个层。每层中的数据点都投影到垂直于加工方向的平面上。此外,根据与平面的距离,将地点上的数据点转换为二维空间上的灰度值。之后,可以使用基于线性扩散的分割方法直接计算偏移曲线。尽管还没有达到理想的结果,但是数值实验结果表明,所提出的方法比现有的方法更具前景。最大的优势之一是更高的效率和更少的计算成本。

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