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- W2376955396 abstract "First,the article analyzed the advantages and disadvantages of the current point cloud simplification algorithm,and then designed an efficient simplification strategy based on the index of kd_tree and curvature sampling.The strategy took full advantage of the accuracy of curvature sampling and the speed advantage of kd_tree,realizing the algorithm based on the kd_tree Index and curvature adaptive.The experiments showed that the algorithm could reduce the point cloud data effectively,ensure the model feature points,and the speed and effectiveness achieve satisfactoryed result." @default.
- W2376955396 created "2016-06-24" @default.
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- W2376955396 date "2010-01-01" @default.
- W2376955396 modified "2023-09-26" @default.
- W2376955396 title "A point cloud simplification algorithm based on kd_tree and curvature sampling" @default.
- W2376955396 hasPublicationYear "2010" @default.
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