基于模糊理论的多分辨率网格捕获技术

Qamar Uddin Khand, Sumudu Dematapitiya, S. Saga, J. Maeda
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引用次数: 3

摘要

本文提出了一种网格捕捉技术,称为多分辨率模糊网格捕捉(MFGS),它可以实现多分辨率网格系统中鼠标光标的自动捕捉。在使用具有普通单分辨率网格系统的CAD系统时,快速和频繁地在高分辨率和低分辨率网格捕获之间切换对于绘制包括精细和粗糙结构的几何图形至关重要。MFGS旨在将用户从这种繁琐的手动切换中解脱出来。MFGS根据用户的指向行为,从多分辨率网格系统中动态选择合适的捕捉分辨率。MFGS甚至支持一个非常精细的网格分辨率水平,这被称为无捕捉水平。实验结果表明,MFGS是一种有效的网格捕获技术,可以在保持捕获高分辨率网格的能力的同时加速低分辨率网格捕获。此外,我们还研究了模糊性在MFGS中的作用及其对捕获性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Resolution Grid Snapping Technique Based on Fuzzy Theory
This paper presents a grid snapping technique, called multi-resolution fuzzy grid snapping (MFGS), that enables automatic mouse cursor snapping for a multi-resolution grid system. Quick and frequent switching between high- and low-resolution grid snapping is essential to make geometrical drawings that include both fine and coarse structures when using CAD systems with ordinary single-resolution grid systems. MFGS is intended to relieve users of this tedious manual switching. MFGS dynamically selects an appropriate snapping resolution level from a multi-resolution grid system according to the pointing behavior of the user. MFGS even supports an extremely fine grid resolution level, which is referred to as the no-snapping level. We show experimental results which demonstrate that MFGS is an effective grid snapping technique that speeds up low-resolution grid snapping while retaining the ability to snap to high-resolution grids. Furthermore, we examine the role of fuzziness in MFGS and its effect on snapping performance.
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