Three-dimensional point cloud data-based rotating body fitting device and method

Abstract

The invention discloses a three-dimensional point cloud data-based rotating body fitting device and method. The three-dimensional point cloud data-based rotating body fitting method is a robust and efficient method used for extracting the feature point of point cloud data of a rotating body. The method includes the following steps that: the three-dimensional point cloud data of a rotating body are obtained; the rotation axis of the rotating body is determined through an OBB (oriented bounding box) method; whether the rotation axis is parallel to any coordinate axis is judged; when the rotation axis is not parallel to any coordinate axis in a three-dimensional coordinate system, the three-dimensional point cloud data of the rotating body is rotated, so that the rotation axis can be parallel to one coordinate axis in the three-dimensional coordinate system; when the rotation axis is parallel to one coordinate axis in the three-dimensional coordinate system, the three-dimensional point cloud data of the rotating body can be projected onto one plane which is vertical to any one coordinate axis in the other coordinate axes, so that the projection contour of the rotating body can be extracted; the point cloud data of the projection contour are extracted, and fitting processing is performed on the point cloud data of the projection contour, and the generatrix of the rotating body is obtained; and the entity model of the rotating body is constructed according to the rotation axis and the generatrix.

Description

technical field [0001] The invention belongs to the technical field of point cloud data feature extraction, in particular to a method and device for fitting a rotating body based on three-dimensional point cloud data. Background technique [0002] 3D laser scanning technology is also known as real scene replication technology. It obtains 3D point cloud data on the surface of objects through high-speed laser scanning measurement. It has the characteristics of real-time, dynamic, active, high-density, and high-precision. How to quickly and automatically process point cloud data is the focus of domestic and foreign scholars' research. Among them, extracting the feature data points of the object from the 3D point cloud data is a very critical part, and the result directly affects the recognition, segmentation, resampling, registration, surface reconstruction and other processes of the point cloud. To extract the point cloud data feature points of the object, the region growth m...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a rotating body fitting method and device based on three-dimensional point cloud data, which solves the problem that there is no robust and efficient method for extracting point cloud data feature points of rotating bodies in the prior art The problem

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