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Research on Surface Reconstruction Method Oriented Rapid Prototyping

机译:面向表面重建方法的快速原型研究

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The rapid prototyping system usually uses triangulation data of STL format. For the scattered point cloud data, this paper adopts the data preprocessing technique and proposes the triangulation optimization algorithm based on extended approximation method to establish the STL data model. The test results show that, for automotive covering parts and other complex surfaces, it gives the repair algorithm of point cloud data and the optimization algorithm of maintaining continuous smooth surfaces. It overcomes the STL data model shortcomings of cracks, broken face and overlap, and achieves the accurate modeling of the mesh surface. Also, the relevant algorithm runs fast. Moreover, the reconstruction of the surface model has a high precision and it benefits the exchange of data between RP systems.
机译:快速原型制作系统通常使用STL格式的三角测量数据。对于散射点云数据,本文采用数据预处理技术,并提出了基于扩展近似方法建立STL数据模型的三角测量优化算法。测试结果表明,对于汽车覆盖部件和其他复杂表面,它给出了Point云数据的修复算法和维持连续光滑表面的优化算法。它克服了裂缝,破碎面和重叠的STL数据模型缺点,并实现了网眼表面的精确建模。此外,相关算法还快速运行。此外,表面模型的重建具有高精度,并且它有利于RP系统之间的数据交换。

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