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首页> 外文期刊>International Journal of Computers & Applications >WAVELETS FOR ADAPTIVELY REFINED 2~(1/3)-SUBDIVISION MESHES
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WAVELETS FOR ADAPTIVELY REFINED 2~(1/3)-SUBDIVISION MESHES

机译:自适应2〜(1/3)细分网格的小波

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摘要

For view-dependent visualization, adaptively refined volumetric meshes are used to adapt resolution to given error constraints. A mesh hierarchy based on the 2~(1/3)-subdivision scheme produces structured grids with the highest adaptivity. Downsampling filters reduce aliasing effects and lead to higher quality data representation (in terms of lower approximation error) at coarser levels of resolution. We present a method for applying wavelet based downsampling filters to adaptively refined meshes. We use a linear B-spline wavelet lifting scheme to derive narrow filter masks. Using these narrow masks, the wavelet filters are applicable to adaptively refined meshes without imposing any restrictions on the adaptivity of the meshes, such that all wavelet filtering operations can be performed without further subdivision steps. We define rules for vertex dependencies in wavelet-based adaptive refinement and resolve them in an unambiguous manner. We use the wavelet filters for view-dependent visualization in order to demonstrate the functionality and the benefits of our approach. When using wavelet filters, the approximation quality is higher at each resolution level. Thus, less polyhedra need to be traversed by a visualization method to meet certain error bounds/quality measures.
机译:对于依赖视图的可视化,自适应精化的体积网格用于将分辨率调整为给定的误差约束。基于2〜(1/3)细分方案的网格层次结构会产生具有最高适应性的结构化网格。下采样滤波器可降低混叠效应,并在较粗的分辨率下产生更高质量的数据表示(就较低的近似误差而言)。我们提出了一种将基于小波的下采样滤波器应用于自适应细化网格的方法。我们使用线性B样条小波提升方案来得出较窄的滤波器蒙版。使用这些狭窄的掩模,小波滤波器可适用于自适应细化的网格,而不会对网格的适应性施加任何限制,从而无需进一步细分步骤即可执行所有小波滤波操作。我们在基于小波的自适应细化中为顶点相关性定义规则,并以明确的方式解决它们。我们将小波滤波器用于依赖于视图的可视化,以演示该方法的功能和优点。使用小波滤波器时,每个分辨率级别的近似质量都更高。因此,可视化方法需要遍历较少的多面体来满足某些误差范围/质量度量。

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