An unorganized point cloud simplification based on boundary point extraction

Xiao-qi Lan; Hong Zhang; Bing-bing Duan

doi:10.1117/12.912977

24 October 2011 An unorganized point cloud simplification based on boundary point extraction

Xiao-qi Lan, Hong Zhang, Bing-bing Duan

Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 828618 (2011) https://doi.org/10.1117/12.912977
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China

Abstract

In the reverse engineering, the dense and disordered point cloud data contain a huge number of redundancy, which inevitably leads to the significant challenges for the tasks of the subsequent data processing. This paper presents a single axis searching arithmetic to obtain the neighborhood information of a point cloud, and then based on all boundary points extracted and reserved, a non-uniform data reduction scheme, according to a specified curvature threshold and the proportion of reserved points in the k-nearest neighbors, is proposed. The experimental result shows that this approach has a strong ability for identifying boundary points, and can directly and effectively reduce the point cloud data, meanwhile keep the original geometric feature.

Citation Download Citation

Xiao-qi Lan, Hong Zhang, and Bing-bing Duan "An unorganized point cloud simplification based on boundary point extraction", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 828618 (24 October 2011); https://doi.org/10.1117/12.912977

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