Point cloud compression method and device, electronic equipment and storage medium

A compression method and point cloud technology, which is applied in the field of point cloud processing, can solve the problems of weak attribute correlation, poor compression performance, and inability to fully reflect the point attribute correlation, etc., and achieve the effect of improving compression performance and compression effect

Inactive Publication Date: 2022-07-22
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing graph definition methods only consider the geometric topology, which cannot fully reflect the attribute correlation between points, limiting the compression performance
In the point cloud block with rich texture, due to

Method used

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  • Point cloud compression method and device, electronic equipment and storage medium
  • Point cloud compression method and device, electronic equipment and storage medium
  • Point cloud compression method and device, electronic equipment and storage medium

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Embodiment Construction

[0058] In order to make the purposes, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only These are some, but not all, embodiments of the present disclosure. The components of the disclosed embodiments generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the disclosure provided in the accompanying drawings is not intended to limit the scope of the disclosure as claimed, but is merely representative of selected embodiments of the disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the ar...

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Abstract

The invention provides a point cloud compression method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-compressed point cloud; the to-be-compressed point cloud is divided into a plurality of sub-point cloud blocks, the sub-point cloud blocks are described through a graph, and a weight matrix corresponding to the sub-point cloud blocks is determined; dividing the graph into a plurality of sub-graphs by adopting a spectral clustering algorithm; iteratively combining the sub-graphs according to a preset cost function, and determining optimized graphs corresponding to the sub-graphs; determining a target adjacent matrix corresponding to the optimization graph, and updating the weight matrix according to the target adjacent matrix; and determining a Laplacian matrix corresponding to the optimization graph according to the updated weight matrix, and compressing the to-be-compressed point cloud according to the Laplacian matrix. The compression performance and the compression effect of point cloud attribute compression can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of point cloud processing, and in particular, to a point cloud compression method, device, electronic device and storage medium. Background technique [0002] 3D point cloud is an important form of digitization of the real world. With the rapid development of 3D scanning equipment (laser, radar, etc.), the accuracy and resolution of point clouds are higher. High-precision point clouds are widely used in the construction of urban digital maps, and play a technical supporting role in many popular researches such as smart cities, unmanned driving, and cultural relics protection. A point cloud is obtained by sampling the surface of an object by a 3D scanning device. The number of points in a frame of point cloud is generally in the millions. Each point contains geometric information and attribute information such as color and reflectivity, and the amount of data is very large. The huge data volume of ...

Claims

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Application Information

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IPC IPC(8): H04N13/161H04N19/597H04N19/96H04N19/176G06V10/762G06K9/62
CPCH04N13/161H04N19/597H04N19/96H04N19/176G06F18/23
Inventor 李革宋菲安禹豪李宏高伟
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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