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A Three Dimensional Mesh Improvement Algorithm Based on Curvature Flow

机译:一种基于曲率流的三维网格改进算法

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In order to suppress undesirable noises in triangular meshes for quality improvement, an effective smoothing method based on curvature flow is proposed in this paper. For triangular meshes generated from planar contours, the continuity information amongst adjacent contours is utilized to determine whether a vertex represents a geometric feature to preserve or an isolated noise to smooth. Before smoothing the original mesh with an isotropic diffusion process, local adaptive refinement is performed where the sharp features are detected. In doing so, the smoothing method has both the benefits of the isotropic diffusion method, simplicity and stability, and that of the anisotropic diffusion method, feature preserving. The presented method is implemented along with several other smoothing methods, and experiments that smooth triangular meshes reconstructed from contours are performed. Experimental results demonstrate that our method can smooth triangular meshes in an effective way.
机译:为了抑制三角网格中的不希望的噪声来质量改进,本文提出了一种基于曲率流动的有效平滑方法。对于从平面轮廓产生的三角形网格,利用相邻轮廓之间的连续性信息来确定顶点是否表示以保护或隔离噪声平滑的几何特征。在通过各向同性扩散过程平滑原始网格之前,在检测到尖锐特征的情况下执行局部自适应细化。在这样做时,平滑方法具有各向同性扩散方法的益处,简单性和稳定性,以及各向异性扩散方法的特征保存。呈现的方法与若干其他平滑方法一起实现,并且执行从轮廓重建的平滑三角网格的实验。实验结果表明,我们的方法可以以有效的方式平滑三角网格。

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