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A FAST AND MEMORY-EFFICIENT METHOD FOR LOD MODELLING OF POLYGONAL MODELS

机译:一种快速和内存高效的多边形模型的LOD建模方法

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Ever growing complexity of polygonal models hinders the rendering and manipulation of such models on available graphics hardware resources. LOD management only can make such models suitable for various applications. We propose a new automatic method for generating LODs of a given polygonal model that is based on edge collapse operation. In an edge collapse algorithm, the way how to measure the error introduced as a result of an edge collapse transformation plays a crucial role in determining the ordering of such transformations. We introduce a new measure of geometric deviation, which is based on local evaluation and accumulation of error, and is simple to implement, involves short running times, is memory efficient and preserves geometric features and discontinuities automatically. Results and numerical comparisons show that our algorithm generates simplified models at different LODs of good visual fidelity, which are comparable with those by other methods.
机译:多边形模型的复杂性越来越复杂地阻碍了可用图形硬件资源的这种模型的渲染和操纵。 LOD管理只能使这些模型适用于各种应用。我们提出了一种新的自动方法,用于生成基于边缘折叠操作的给定多边形模型的吊索。在边缘折叠算法中,如何测量由于边缘崩解变换而引入的错误的方式在确定这种变换的排序方面起着至关重要的作用。我们介绍了一种新的几何偏差衡量标准,基于局部评估和累积的误差,并且易于实施,涉及短期运行时间,内存有效,并自动保留几何特征和不连续性。结果和数值比较表明,我们的算法在良好的视觉保真品的不同吊索中产生了简化模型,与其他方法相当。

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