Marching intersections: an efficient resampling algorithm for surface management

C. Rocchini, Paolo Cignoni, F. Ganovelli, C. Montani, P. Pingi, Roberto Scopigno
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引用次数: 43

Abstract

The paper presents a simple and efficient algorithm for the removal of small topological inconsistencies and high frequency details from surface models. The method, called marching intersections (MI), adopts a volumetric approach and acts as a resampling filter. All the intersection points between the input model and the lines of a user selected 3D reference grid are located and then, beginning from these intersections, an output surface is reconstructed. MI, which presents good characteristics in terms of efficiency, compactness, and quality of the output models, can be also used: for the conversion between different representation schemes; to perform logical operations on geometric models; for the topological simplification of surfaces; and for the simplification of huge meshes, i.e. meshes too large to be allocated in main memory during the simplification process. All these aspects are discussed in the paper and timing and graphic results are presented.
行进路口:一种有效的曲面管理重采样算法
本文提出了一种简单有效的表面模型小拓扑不一致和高频细节去除算法。该方法被称为行进交叉点(MI),采用体积法并作为重采样滤波器。将输入模型与用户选定的三维参考网格线之间的所有交点定位,然后从这些交点开始重建输出曲面。MI在输出模型的效率、紧凑性和质量方面表现出良好的特点,也可用于:不同表示方案之间的转换;对几何模型进行逻辑运算;对于曲面的拓扑化简;对于大型网格的简化,即在简化过程中网格太大而无法在主内存中分配。本文对这些方面进行了讨论,并给出了时序和图形结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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