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A Three Dimensional Mesh Improvement Algorithm Based on Curvature Flow

机译: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:为了抑制三角形网格中的不良噪声以提高质量,提出了一种有效的基于曲率流的平滑方法。对于从平面轮廓生成的三角形网格,利用相邻轮廓之间的连续性信息来确定顶点是要保留的几何特征还是要平滑的孤立噪声。在使用各向同性扩散过程对原始网格进行平滑处理之前,在检测到尖锐特征的地方执行局部自适应细化。这样,平滑方法既具有各向同性扩散方法的优点,即简单性和稳定性,又具有各向异性扩散方法的优点,即保留了特征。提出的方法与其他几种平滑方法一起实现,并进行了从轮廓重建的平滑三角形网格的实验。实验结果表明,该方法可以有效地平滑三角形网格。

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