2020/01/09 · This paper proposes a feature extraction method for scattered point clouds. First, a clustering algorithm is used to divide point clouds into different regions.

This paper proposes a feature extraction method for scattered point clouds. First, a clustering algorithm is used to divide point clouds into different ...

This paper proposes a feature extraction method for scattered point clouds. First, a clustering algorithm is used to divide point clouds into different ...

A feature extraction method for 3D point clouds based on the Otsu algorithm that achieves good extraction results for data with 90% simplification rate and ...

Abstract: This paper proposes a feature extraction method for scattered point clouds. First, a clustering algorithm is used to divide point clouds into ...

A new method to extract feature lines directly from a surface point cloud using the inexpensive computation of a neighbor graph connecting nearby points.

This paper proposes a feature extraction method for scattered point clouds. First, a clustering algorithm is used to divide point clouds into different ...

In this study, we propose an unsupervised clustering method for 3D surface point cloud segmentation, which is suitable for unorganized, noisy point clouds.

Traditional methods for point cloud segmentation include region growing, feature clustering, model fitting, and edge detection (Lu. J et al., 2003). With the ...

2024/01/04 · This study proposes a batch automatic extraction approach for identifying key feature information, including boundaries, corner points, and bolt holes of large ...