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Algorithm of denoising based on point cloud segmentation

The undesirable noise will inevitably occur in the generation of the triangular mesh. Therefore, how to effectively remove the noise has become an important project in the computer graphics. By the point cloud segmentation approach we can denoise the data just only for the characteristic point, thereby reducing the number of point cloud processing and precision. This paper proposes an algorithm which can smooth nosing data quickly. Experimental result proves the validity of the algorithm.