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Reliable joining of surfaces for combined mesh-surface models

机译:用于组合网格型号的表面可靠的接合

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Algorithms to join two mesh patches along an edge are of immediate practical interest in the context of higher-level operations on models of objects formed by such mesh patches. Such models are widely used in graphical visualization and simulation, shape interrogation, and other areas. Thus, there are now available methods to join two subdivision surfaces along a common edge curve, as well as methods to join mesh patches that approximate given trimmed-surface patches. The latter problem is studied in this paper. The auxiliary information available to the algorithm, in the context of surface joining, varies, depending upon circumstances. In particular, it may or may not be true that an explicit common edge curve, representing the boundary between the two patches to be joined, is available as part of the data. Even in the case, however, when maximal auxiliary information is available algorithms are not necessarily reliable. For example, methods that do not use normal-vector error criteria, to measure the discrepancy between the surface patch and the associated mesh patch, can produce poor results, due to large changes in the normal direction of a triangle near the mesh boundary. It is even possible to give examples where the triangles near the joined boundary are turned upside down by the joining process, so that computed meshes self-intersect. In this paper an algorithm is presented that uses a proxy for a normal-vector error criterion, and the Whitney extension theorem, to produce reliable algorithms. Examples are given, and an implementation is described.
机译:沿着边缘加入两个网格斑块的算法在由这种网格贴片形成的对象模型的更高级别操作的上下文中立即产生兴趣。这些模型广泛用于图形可视化和仿真,形状询问和其他区域。因此,现在存在沿公共边缘曲线连接两个细分表面的方法,以及加入近似给定修整表面斑块的网状斑块的方法。本文研究了后一种问题。根据情况,算法在算法中可用的辅助信息因环境而异。特别地,它可能是也可能不是表示要加入的两个补丁之间的边界的显式公共边缘曲线,作为数据的一部分可用。然而,即使在这种情况下,当最大辅助信息是可用的算法时也不一定是可靠的。例如,不使用正常矢量误差标准的方法,以测量表面贴片和相关网格贴片之间的差异,可以产生差的结果,导致网格边界附近的三角形的正常方向的大变化。甚至可以提供实施例,其中连接边界附近的三角形被连接过程颠倒,使得计算的网格自相交。在本文中,提出了一种算法,其使用代理用于正常矢量误差标准和惠特尼扩展定理,以产生可靠的算法。给出了示例,并描述了实现。

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