一种保留局部特征和网格分割的网格简化算法

Zhen-yu Yang, Shao-wen Xu, Wei-yong Wu
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引用次数: 3

摘要

如何保持网格的局部特征和自适应简化成为研究的热点。提出了一种基于Garland二次误差度量的网格分割算法和自适应网格简化算法,有效地保留了三角形网格的局部特征。该算法引入顶点斜率作为基本二次误差度量的加权值。实验结果表明,该算法不仅继承了二次误差度量算法较高的速度和质量,而且克服了均匀网格的缺点。
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A mesh simplification algorithm for keeping local features with mesh segmentation
How to keep local features of the mesh and adaptive simplification becomes the research hotspot. This paper proposes a mesh segmentation algorithm and an adaptive mesh simplification algorithm, based on quadric error metric of Garland, that can keep the triangle grid local features effectively. The algorithm introduces vertex slope as the weighted value of the basic quadric error metric. Experimental results indicate that the algorithm, not only inherits higher speed and quality of the quadric error metric algorithm, but also overcomes the shortcoming of uniform grid.
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