一种任意网格模型的选择细化算法
An Algorithm to Generate Selective Refinement of Arbitrary Mesh
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摘要: 以基于最大误差L∞控制的网格简化算法为基础,通过删除边操作对网格模型进行向下采样,同时建立各删除操作的依赖关系在进行网格选择细化时,将细化操作分解为对网格模型的几何修改信息和各细化操作之间的关系信息,确保了网格模型选择细化结果的正确性实验结果证明了文中算法的有效性.Abstract: Based on mesh simplification method driven by L∞ error control, the algorithm uses edge contraction as down sampling method, during which the hierarchies of those edge contractions are created. While refining, the algorithm encodes the operation as a modification to the mesh and dependency relations, thus the robustness of the selective refinement results is ensured. Experiments show the efficiency and stability of this method.
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