An indoor building three-dimensional modeling method and device based on point cloud data
A technology of point cloud data and 3D modeling, which is applied in the field of 3D laser scanning technology and 3D modeling, can solve the problems of low efficiency and achieve the effect of improving modeling efficiency
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Embodiment 1
[0054] This embodiment provides a 3D modeling method for indoor buildings based on point cloud data, please refer to figure 1 , the method includes:
[0055] First, step S1 is performed: acquiring 3D point cloud data of indoor buildings.
[0056] Specifically, the 3D point cloud data of indoor buildings acquired in step S1 includes: single-station or multi-station registration and mosaic point cloud data of terrestrial 3D laser scanners, multi-view image (dense) matching, depth camera and integrated laser- Point cloud data acquired by an indoor mobile measurement system of attitude sensors and cameras.
[0057] In the specific implementation process, the ground three-dimensional laser instrument can usually only scan part of the indoor area once (one station), such as a room, etc. During specific implementation, the three-dimensional model of each room can be calculated according to the method of the present invention, and then According to the layout of the interior space, th...
Embodiment 2
[0100] This embodiment provides a three-dimensional modeling device for indoor buildings based on point cloud data, please refer to figure 2 ,include:
[0101] The data acquisition module 201 is used to acquire the three-dimensional point cloud data of the indoor building;
[0102] A preprocessing module 202, configured to preprocess the three-dimensional point cloud data;
[0103] The clustering module 203 is used for performing plane clustering on the preprocessed three-dimensional point cloud data, extracting the points contained in the clustered plane, and constructing a plane slice equation according to the extracted points;
[0104] Neighborhood calculation module 204, used to calculate the neighborhood slice and geometric information of each plane slice;
[0105] The semantic classification module 205 is used to perform semantic classification on the plane slices according to the geometric information and the neighborhood relationship of the plane slices, and obtain ...
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