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With noise and plenty of redundant points, point cloud data obtained from non-contact scan method affects the reconstruction of geometric model. In view of the fact that denoising and simplification of original point cloud data serve as key points of geometric reconstruction, this paper, based on noise properties, puts forward a method to eliminate noise points at different scales through combination of chord height error and improved filter operator, and introduces an algorithm to carry outdoi:10.14257/ijgdc.2016.9.11.09 fatcat:43q5lnhfyrf4zdgii5bvzr27e4