Fast point cloud boundary extraction technique combined with improved particle swarm algorithm
A technology for improving particle swarm and point cloud boundaries. It is applied in the field of point cloud processing and can solve the problems of low boundary extraction accuracy, large amount of calculation, and large memory.
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[0044] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.
[0045] A fast point cloud boundary extraction technology combined with improved particle swarm algorithm, including point cloud data acquisition and processing, filtering and surface reconstruction, plane segmentation and boundary extraction, such as figure 1 shown, as follows:
[0046] Step 1: Obtain point cloud data through measurement equipment such as kinect, radar, and 3D laser scanning, and establish topological relationships between discrete points to achieve fast search based on neighborhood relationships. Build an octree structure to sample the given point cloud data;
[0047] Step 2: Since the original data obtained by the measuring equipment is often noisy, the data point set needs to be smoothed before boundary extraction, which is beneficial to improve the efficiency of plane segmentation and boundary extraction; 3 times mean fi...
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