Automatic registration method for large scale three dimension scene multiple view point laser scanning data
A 3D scene and laser scanning technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as long iteration time, manual setting, and unsuitability for large-scale registration
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Embodiment 1
[0072] 1) Data acquisition
[0073] The laser range finder is placed 20-50 meters in front of the measured scene, adjust the range finder so that the Z axis is perpendicular to the ground, and the X and Y axes are parallel to the ground, and scan the measured scene row by row (such as figure 1 ), to obtain the 3D data corresponding to the viewpoint. In addition, 10% to 20% overlap of the scanning data of adjacent viewpoints is maintained, so that the three-dimensional data of each viewpoint can be registered smoothly.
[0074] 2) Extract the main building structure
[0075] Input the laser scanning data corresponding to each viewpoint, calculate the horizontal distance between each point on each vertical scanning surface and the laser range finder, and use the Hough transform to detect the vertical line segment according to the horizontal distance (as shown in Figure 2(a) and Figure 2(b) )], calculate the length of the vertical line with the number of points it contains, and...
Embodiment 2
[0124] In order to use the method of the present invention to automatically register the laser scanning data of 8 viewpoints in a large-scale three-dimensional scene to the student restaurant, its steps 1)-5) are the same as in Embodiment 1, except that: since the number of viewpoints exceeds 2, it is necessary to Do global registration:
[0125] First, all viewpoints (with overlapping areas) are pairwise registered, and a global registration model is established using the minimum spanning tree principle, and then a viewpoint S is selected according to the global registration model a Fixed, laser scan data conversion for other viewpoints in S a in the coordinate system.
[0126] Specifically, the transformation matrix T can be calculated for each pair of two viewpoints with overlapping areas i =[R i , t i ] and local matching degree g(T i ) (counted by the number of registered points). Taking each viewpoint as a node, with g(T i ) is the connection weight of the node, a...
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