Normal-based large-scale point cloud visualization method

A large-scale, point cloud technology, applied in the field of 3D data visualization, can solve problems such as waste and invalid rendering resources, and achieve the effect of reducing the number of points, ensuring authenticity, and efficient real-time large-scale point cloud visualization method

Active Publication Date: 2021-05-14
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention proposes a normal-based large-scale point cloud visualization method to solve the problems of invalid rendering of occluded point clouds and waste of resources in large-scale point cloud visualization in the prior art

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  • Normal-based large-scale point cloud visualization method
  • Normal-based large-scale point cloud visualization method
  • Normal-based large-scale point cloud visualization method

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Embodiment Construction

[0028] The normal-based large-scale point cloud visualization method of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] Such as figure 1 As shown, a normal-based large-scale point cloud visualization method includes the following steps:

[0030] Step S1. According to the spatial structure of the point cloud data, an octree structure of node point cloud balance is constructed. include:

[0031] Step S101, read the original point cloud data including position information and normal direction information, and obtain the range P of the point cloud by statistics min and P max , taking their midpoint (P min +P max ) / 2 as the center of the bounding box, with the maximum side length H of the point cloud range max =max(P max -P min ) as the side length of the bounding box, and take the bounding box as the root node of the octree. Set the preset octree level according to the total n...

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Abstract

The invention relates to a normal-based large-scale point cloud visualization method, and the method comprises the steps: S1, constructing a node point cloud balanced octree structure according to a space structure of point cloud data; S2, constructing an octree structure with normal information according to the balanced octree structure and the normal information of the point cloud, and constructing normal LOD visual nodes in a down-sampling mode; and S3, finally, determining a node scheduling strategy according to the normal relationship between the view point and the view cone and the rendering node, and respectively calling a reading thread and a rendering thread for simultaneous reading and rendering according to the current scheduling strategy. According to the method, the rendering nodes are constrained by adding the normal information, the problem of invalid rendering of a large number of shielded point clouds, scene back point clouds and the like in a large-scale point cloud rendering process is solved, the number of points of actual rendering point clouds is reduced, and the authenticity of point cloud display is ensured.

Description

technical field [0001] The invention relates to the field of three-dimensional data visualization, in particular to a large-scale point cloud visualization method based on normals. Background technique [0002] In recent years, lidar and 3D scanning technology have been widely used in surveying and mapping, power line inspection, digital city, ancient building protection, military equipment measurement, and digital twins. During the use of 3D scanning technology, massive 3D point cloud data can be quickly obtained. These data often have a scale of hundreds of millions. In addition to data point coordinates, they usually also include information such as reflection intensity and normal direction. How to achieve effective storage and visualization of large-scale point clouds is a hot issue that needs to be solved urgently. [0003] The storage and display of large-scale point cloud data will consume a large amount of computer resources, and the rational organization, managemen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
CPCG06T17/005G06T2210/56G06T19/00G06T2210/36
Inventor 汪俊李子宽黄安义谢乾
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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