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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留网格去噪

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摘要

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:在Lee等人(2005)的网格显着性和Chen(2005)的上下文不连续性的概念的启发下,提出了一种新颖的自适应平滑方法来去除噪声和保留特征。网格显着性被用作多尺度度量来检测上下文不连续性,以保持特征并控制平滑速度。所提出的方法类似于双边滤波方法。比较结果证明了所提出方法的简单性和效率,这使其成为平滑3D噪声网格的极佳解决方案。

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