Point cloud sampling method, device and equipment and computer readable storage medium

A point cloud, to-be-sampling technology, applied in the field of data processing, can solve problems such as low point cloud sampling efficiency, and achieve the effect of reducing the amount of calculation, reducing the computational complexity, and improving the efficiency

Active Publication Date: 2021-11-19
深圳市信润富联数字科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a point cloud sampling method, device, equipment and computer-readable storage medium, aiming to solve the current technical problem of low efficiency of point cloud sampling

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  • Point cloud sampling method, device and equipment and computer readable storage medium
  • Point cloud sampling method, device and equipment and computer readable storage medium
  • Point cloud sampling method, device and equipment and computer readable storage medium

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Embodiment Construction

[0041] It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0042] Embodiments of the present application provide a point cloud sampling method, device, device, and computer-readable storage medium for acquiring point cloud data to be sampled, sampling the point cloud data to be sampled, and obtaining initial sampling data; based on the to-be-sampled point cloud data The point cloud data performs sampling point supplementation on the initial sampling data to obtain target sampling data. Compared with the sampling algorithm with higher algorithm complexity and huge calculation amount in the prior art, the present application obtains the initial sampling data by performing initial sampling on the point cloud data to be sampled, and then performs sampling point supplementation on the initial sampling data to obtain the target. Sampling data can effectively reduce the co...

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Abstract

The invention discloses a point cloud sampling method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining to-be-sampled point cloud data, and sampling the to-be-sampled point cloud data to obtain initial sampled data; and performing sampling point supplementation on the initial sampled data based on the to-be-sampled point cloud data to obtain target sampled data. Compared with a sampling algorithm with relatively high algorithm complexity and a large calculation amount in the prior art, the method has the advantages that the initial sampling data is obtained by performing initial sampling on the to-be-sampled point cloud data, and then the target sampling data is obtained by performing sampling point supplementation on the initial sampled data; thus, the calculation complexity is effectively reduced, the calculation amount required by sampling is reduced, and then the point cloud sampling efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a point cloud sampling method, apparatus, device, and computer-readable storage medium. Background technique [0002] When performing point cloud sampling, due to the mass and disorder of point clouds, the processing method of direct sampling requires high computational cost when searching the neighborhood. A common solution is to downsample the point cloud, and convert the operations on all point clouds to the points obtained by downsampling, thereby reducing the amount of computation. A commonly used downsampling method is the farthest point downsampling method, and the farthest point sampling is a relatively simple uniform sampling method. The specific method is: the input point cloud is recorded as P, the sampling point set is recorded as Q, before sampling, the sampling point set Q is empty. The first step is to randomly collect a seed point in the p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20
CPCG06T17/205
Inventor 赵佳南黄雪峰杨超胡亘谦吴志浩
Owner 深圳市信润富联数字科技有限公司
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