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A Large-Scale Point Cloud Visualization Method Based on Normal

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: 2021-12-07
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Claims
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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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  • A Large-Scale Point Cloud Visualization Method Based on Normal
  • A Large-Scale Point Cloud Visualization Method Based on Normal
  • A Large-Scale Point Cloud Visualization Method Based on Normal

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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 present invention relates to a large-scale point cloud visualization method based on the normal direction, step S1, according to the spatial structure of point cloud data, construct a node point cloud balanced octree structure; step S2, according to the balanced octree structure and point For the normal information of the cloud, construct an octree structure with normal information, and construct a normal LOD visualization node by downsampling; step S3, and finally determine the node scheduling according to the relationship between the viewpoint and frustum and the normal direction of the rendering node Strategy, according to the current scheduling strategy, call the reading thread and the rendering thread to read and render at the same time. The invention constrains the rendering nodes by adding normal information, solves the problem of invalid rendering of a large number of occluded point clouds and point clouds on the back of the scene in the large-scale point cloud rendering process, reduces the number of points actually rendered in the point cloud, and ensures Authenticity of point cloud display.

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 Patents(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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