简化的信封

J. Cohen, A. Varshney, Dinesh Manocha, Greg Turk, Hans Weber, P. Agarwal, F. Brooks, W. Wright
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引用次数: 603

摘要

我们提出了简化包络的思想,用于为给定的多边形模型生成详细层次近似的层次结构。我们的方法保证近似值的所有点都在用户可指定的距离内,并且原始模型的所有点都在距离近似值的距离内。simplification envelope提供了一个通用框架,在这个框架中可以运行大量现有的简化算法。我们将此技术与两种算法结合使用,一种是局部算法,另一种是全局算法。局部算法为生成大型输入网格(至少数十万个三角形)的近似提供了一种快速方法。全局算法提供了避免局部“最小值”的机会,从而可能实现更好的简化。每个近似都试图最小化满足上述约束所需的多边形总数。我们的方法的主要优点是:通用技术提供了保证的误差范围,简化过程和选择适当的观察距离的自动化防止自相交保存尖锐特征允许在模型CR的不同部分之间的近似距离变化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplification envelopes
We propose the idea of simplification envelopes for generating a hierarchy of level-of-detail approximations for a given polygonal model. Our approach guarantees that all points of an approximation are within a user-specifiable distance from the original model and that all points of the original model are within a distance from the approximation. Simplificationenvelopes provide a general framework within which a large collection of existing simplification algorithms can run. We demonstrate this technique in conjunction with two algorithms, one local, the other global. The local algorithm provides a fast method for generating approximations to large input meshes (at least hundreds of thousands of triangles). The global algorithm provides the opportunity to avoid local “minima” and possibly achieve better simplifications as a result. Each approximation attempts to minimize the total number of polygons required to satisfy the above constraint. The key advantages of our approach are: General technique providing guaranteed error bounds for genus-preserving simplification Automation of both the simplification process and the selection of appropriate viewing distances Prevention of self-intersection Preservation of sharp features Allows variation of approximation distance across different portions of a model CR
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