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3D Mesh Smoothing Method Based on Vertex Classification and Distance Equalization

机译:基于顶点分类和距离均衡的3D网格平滑方法

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The triangular mesh model obtained from the measured data in reverse engineering often contains a large amount of noise, disturbance and irregular triangles, which need to be smoothed to meet the requirements of subsequent processing. This paper analyzes the advantages and disadvantages of Laplacian smoothing method and Taubin method in terms of processing effect and operation efficiency. A smoothing method based on vertex classification and distance equalization is proposed in this paper to avoid the drawbacks of Laplace smoothing method and Taubin method. Vertex classification divides the vertices in the mesh model into feature vertices and normal vertices, so that different smoothing methods can be used for different vertices. The smoothing method based on distance equalization starts from the distance between the vertices of the mesh and the average plane of its neighbors, and takes the difference of the average plane distance from the adjacent vertices to its neighborhood as the weight to control the moving direction of the vertices, effectively maintaining the surface features of the model.
机译:从逆向工程中的测量数据获得的三角形网格模型通常包含大量的噪声,干扰和不规则三角形,需要对其进行平滑处理以满足后续处理的要求。从处理效果和运算效率两方面分析了拉普拉斯平滑法和陶宾法的优缺点。提出了一种基于顶点分类和距离均衡的平滑方法,避免了拉普拉斯平滑法和Taubin法的弊端。顶点分类将网格模型中的顶点分为特征顶点和法向顶点,因此可以对不同的顶点使用不同的平滑方法。基于距离均衡的平滑方法从网格顶点之间的距离与其相邻邻点的平均平面的距离开始,并以相邻顶点到其邻域的平均平面距离的差作为权重来控制网格的移动方向。顶点,有效地维护了模型的表面特征。

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