Point cloud feature point detection method and point cloud feature extraction method

A feature point detection and feature extraction technology, which is applied in the field of point cloud feature point detection and point cloud feature extraction, can solve the problems of feature line connection error, large number of feature points, and low geometric accuracy, so as to achieve simple reconstruction and reduce occurrence The effect of errors, high estimation accuracy
CN108010116BActive Publication Date: 2021-02-09SOUTHWEAT UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHWEAT UNIV OF SCI & TECH
Publication Date
2021-02-09

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Abstract

The invention provides a point cloud feature point detection method and a point cloud feature extraction method. The inspection method includes: establishing a local spherical coordinate system with a data point in the point cloud data as the center of the sphere, and finding k neighborhoods through a neighbor algorithm; connecting the center of the sphere with each nearest neighbor point respectively to obtain k line segment groups; Sort the k line segment groups according to the size of the horizontal projection angle of the line segment groups, and check each line segment group by the Laplacian operator to determine whether the data point is a feature point; process each data point in the point cloud data according to the above steps, get All feature points of the point cloud data. The point cloud feature extraction method includes the steps of: determining feature points according to the above-mentioned detection method, and recording the regional connection information of each feature point; Polygon to achieve region segmentation. The number of characteristic points marked by the invention is small, the extraction of characteristic points is orderly, and the reconstruction of characteristic lines is simple and convenient.
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Description

technical field

[0001] The invention relates to point cloud model storage, in particular, to a point cloud feature point detection method and a point cloud feature extraction method. Background technique

[0002] 3D laser scanning technology is widely used in mechanical design, cultural relic protection, medicine, architectural measurement and other fields. More and more physical samples and CAD models are stored in point cloud models. Point cloud models often only have spatial coordinate information, without geometric attributes such as surface normal and curvature, and topological structures such as triangular meshes and model parameters. There are various geometric structures such as feature points, characteristic curves, and surfaces in the model. Separating various geometric structures cannot reasonably segment the surface slices of the point cloud, and it is difficult to directly reconstruct the physical sample model from the point cloud data as a whole. Even so, it al...

Claims

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