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Shape-adaptive 3-D mesh simplification based on local optimality measurement

机译:基于局部最优测量的形状 - 自适应3-D网格简化

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Mesh simplification is the process of reducing the number of triangles it, a mesh representation of object surface. For a given level of detail or error tolerance, the conventional mesh simplification algorithms maximize the edge length globally, without explicitly considering local object shape. In this paper, we present a shape-adaptive mesh simplification algorithm that locally maximizes edge length, depending on local shape. The proposed algorithm achieves shape-adaptive simplification by iteratively maximizing edges between vertices, based on the comparison with the "optimal" edge lengths derived from local directional curvatures for a given error tolerance.
机译:网格简化是减少三角形的数量的过程,物体表面的网状表示。对于给定水平的细节或误差容限,传统的网格简化算法在全球范围内最大化边缘长度,而不明确地考虑局部对象形状。在本文中,我们提出了一种形状 - 自适应网格简化算法,其局部地最大化边缘长度,这取决于局部形状。基于与给定误差容限的局部方向曲率导出的“最优”边缘长度的比较,所提出的算法通过迭代地最大化边缘来实现形状自适应简化。

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