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Adaptive sampling for mesh spectrum editing

机译:自适应采样,用于网格频谱编辑

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A mesh editing framework is presented in this paper, which integrates Free-Form Deformation (FFD) and geometry signal processing. By using simplified model from original mesh, the editing task can be accomplished with a few operations. We take the deformation of the proxy and the position coordinates of the mesh models as geometry signal. Wavelet analysis is employed to separate local detail information gracefully. The crucial innovation of this paper is a new adaptive regular sampling approach for our signal analysis based editing framework. In our approach, an original mesh is resampled and then refined itera-tively which reflects optimization of our proposed spectrum preserving energy. As an extension of our spectrum editing scheme, the editing principle is applied to geometry details transferring, which brings satisfying results.
机译:本文提出了一种网格编辑框架,该框架集成了自由形式变形(FFD)和几何信号处理。通过使用原始网格物体的简化模型,可以通过一些操作来完成编辑任务。我们将代理的变形和网格模型的位置坐标作为几何信号。小波分析用于优雅地分离局部细节信息。本文的关键创新是针对基于信号分析的编辑框架的一种新的自适应常规采样方法。在我们的方法中,对原始网格进行重新采样,然后进行迭代精炼,这反映了我们提出的频谱保留能量的优化。作为我们频谱编辑方案的扩展,将编辑原理应用于几何图形细节传递,从而带来令人满意的结果。

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