Voxel-based point cloud compression method and device for adaptive partitioning

A compression method and self-adaptive technology, applied in special data processing applications, instruments, image data processing, etc., can solve the problems of pixelization compression loss point cloud, large amount of 3D point cloud data, and poor compression rate.

Active Publication Date: 2021-03-30
SHENZHEN UNIV
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Problems solved by technology

Due to the characteristics of 3D point cloud data, the amount of 3D point cloud data is large, and the point cloud is very sparsely distributed in space, and the point cloud is to collect the plane on the surface of the object, and the method of evenly dividing the original point cloud data into blocks leads to For some extremely sparse point clouds, the compression rate is not good, and the block voxelization compression for point cloud aggregation may cause a large loss of point cloud details.

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  • Voxel-based point cloud compression method and device for adaptive partitioning
  • Voxel-based point cloud compression method and device for adaptive partitioning
  • Voxel-based point cloud compression method and device for adaptive partitioning

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[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0068] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0069] It should also be understood that the terminology used ...

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Abstract

The invention provides a voxel-based point cloud compression method and device for adaptive partitioning. The method comprises the following steps: carrying out the adaptive partitioning of original point cloud data; encoding the point cloud blocks subjected to the self-adaptive partitioning; training a compression encoder by using the improved wBCE loss function; and encoding the point cloud blocks subjected to adaptive partitioning by using the trained compression encoder. The method and the device have the beneficial effects that the compression rate and speed of point cloud compression canbe effectively improved, and meanwhile, the quality of point cloud compression can be obviously improved at a relatively high compression rate.

Description

technical field [0001] The present invention relates to a compression method and device, in particular to a voxel-based point cloud compression method and device for adaptive block. Background technique [0002] The purpose of point cloud compression is to compress and encode the original point cloud data to reduce transmission bandwidth or storage capacity. The amount of original point cloud data is huge. With the popularity of point cloud acquisition equipment and the rise of 3D applications, it is necessary to compress the original point cloud data to meet the transmission bandwidth or storage limitations. Point cloud compression can be mainly divided into video point cloud compression and geometric point cloud compression. With the development of deep learning, many deep learning frameworks have been applied to geometric point cloud compression. Point cloud compression based on deep learning can be divided into three categories according to the processing of original po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/40G06N3/04G06K9/62G06F16/174
CPCG06T9/40G06F16/1744G06N3/045G06F18/214G06F18/241
Inventor 王妙辉董恒进
Owner SHENZHEN UNIV
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