Mark point matching method for point-cloud registration in 3D scanning system
A technology of three-dimensional scanning and point cloud splicing, which is applied in the direction of using optical devices, image data processing, measuring devices, etc., can solve problems such as inability to accurately locate, cannot guarantee matching relationships, and lack of criteria for finding corresponding relationships, and achieves clear thinking, Avoid complex operations and achieve convenient effects
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[0032] A Marker Point Matching Method for Point Cloud Stitching in a 3D Scanning System
[0033] Step 1: Dynamically divide the first point cloud marker point set at the beginning of successive scans according to the spatial coordinates and distance values {M i}(i=0, 1,...n), forming layer-by-layer nesting, the division criterion is: set the center layer M 0 , the side length of the cube is set to L, and the center layer data is used as the reference coordinate system. Then, the layer is added dynamically, the side length of the second layer cube is 3L, the side length of the third layer cube is 5L, and so on. The side length of the i-layer cube is 2i+1, forming layer nesting;
[0034] Step 2: a) Set the first point cloud at the beginning of successive scans as the benchmark, and use the current data layer M a Point to the data layer where the overlapping area of the first point cloud of the successive scans and the second point cloud of the successive scans is located, ...
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