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Feature-preserving mesh denoising based on contextual discontinuities

机译:基于上下文不连续性的特征保护网格去噪

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Motivated by the conception of Lee et al.(2005)’s mesh saliency and Chen (2005)’s contextual discontinuities, a novel adaptive smoothing approach is proposed for noise removal and feature preservation. mesh saliency is employed as a multiscale measure to detect contextual discontinuity for feature preserving and control of the smoothing speed. The proposed method is similar to the bilateral filter method. Comparative results demonstrate the simplicity and efficiency of the presented method, which makes it an excellent solution for smoothing 3D noisy meshes.
机译:由Lee等人的概念而激励。(2005)的网格显着性和陈(2005)的上下文,提出了一种新的自适应平滑方法,用于噪音和特征保存。网格显着性作为多尺度测量来检测特征保存和控制平滑速度的上下文不连续性。该方法类似于双侧滤波方法。比较结果表明了呈现的方法的简单性和效率,这使其成为平滑3D噪声网格的优异解决方案。

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