Point Cloud Data Registration Method
A technology of point cloud data and cloud data, applied in the field of lidar data post-processing, can solve the problems of large position error, difficult application, large amount of calculation, etc., to achieve the effect of improving accuracy and efficiency, small amount of calculation and high precision
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Embodiment 1
[0055] See figure 1 , is a schematic flowchart of a point cloud data registration method provided by an embodiment of the present invention. The point cloud data registration method includes the following steps:
[0056] (a) obtaining the first point cloud data set and the second point cloud data set;
[0057] (b) constructing the sum of squares of distances between the first point cloud dataset and the second point cloud dataset;
[0058] (c) Minimizing the sum of squared distances to obtain a registration matrix.
[0059] The point cloud data registration method of the present invention obtains the optimal registration matrix by constructing the sum of squares of the distances of the feature points and calculating the minimum value of the sum of squares of the distances, which has small errors, high precision, small amount of calculation, and significantly improves the point cloud data registration method. Accuracy and efficiency of cloud registration.
Embodiment 2
[0061] see again figure 1 , on the basis of the foregoing embodiments, this embodiment focuses on a detailed description of the point cloud data registration method. The point cloud data registration method includes the following steps:
[0062] (a) obtaining the first point cloud data set and the second point cloud data set;
[0063] (b) constructing the sum of squares of distances between the first point cloud dataset and the second point cloud dataset;
[0064] (c) Minimizing the sum of squared distances to obtain a registration matrix.
[0065] Wherein, step (c) includes: minimizing the sum of squared distances includes: making a derivative of the sum of squared distances be 0.
[0066] Specifically, step (c) includes:
[0067] (c1) according to the expression of rotation parameter rotation matrix and according to the expression of translation parameter construction translation matrix;
[0068] (c2) constructing an expression of the distance sum of squares according to ...
Embodiment 3
[0086] This embodiment introduces a laser radar data processing method on the basis of the above embodiments, including the following steps:
[0087] (x1) Obtain distance response information;
[0088] (x2) performing local coordinate transformation on the distance response information to obtain the first point cloud data;
[0089] (x3) performing world coordinate transformation on the first point cloud data to obtain second point cloud data;
[0090] (x4) Acquiring the first point cloud data set and the second point cloud data set respectively corresponding to the distance response information of two adjacent frames according to the second point cloud data;
[0091] (x5) generating a registration matrix using the point cloud data registration method as described in the above-mentioned embodiment according to the first point cloud data set and the second point cloud data set;
[0092] (x6) generating the third point cloud data after registration according to the registration...
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