Point Cloud Simplification Based on Point Importance Judgment
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TP391

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    Abstract:

    In order to effectively maintain the significant geometric features of scattered point clouds and improve the accuracy and efficiency of point cloud simplification, a point cloud simplification method based on point importance judgment is proposed. Firstly, the importance of points in point clouds is calculated, and feature points are extracted according to the importance. Then, the octree algorithm is used to simplify the non-feature points, so as to retain the main details of the point cloud and realize the simplification of the point cloud. Finally, the point cloud simplification method is verified by simplifying the data model of public point clouds and cultural relics point clouds. The results show that the point cloud simplification method based on point importance judgment can effectively simplify the point cloud while maintaining the detailed geometric characteristics of the point cloud. It is a fast and high-precision point cloud simplification method.

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赵夫群,李映萱.基于点重要性判断的点云简化.计算机系统应用,2023,32(9):197-202

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History
  • Received:August 18,2022
  • Revised:September 27,2022
  • Online: June 30,2023
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