G-PCC point cloud coding improvement method based on ground segmentation

A G-PCC and ground point technology, applied in digital video signal modification, electrical components, image communication, etc., can solve the problems of lower coding rate, deep depth, waste of storage space, etc., to improve coding performance, improve coding efficiency, The effect of increasing the compression ratio

Pending Publication Date: 2021-10-19
FUZHOU UNIV +1
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Problems solved by technology

Similarly, in the process of building an octree, there will be problems such as too deep depth, wasting too much storage space, and reducing the encoding rate due to the problem of the point cloud structure.
[0005] As mentioned above, although the existing encoding technology greatly compresses the amount of point cloud data, the current mainstream encoding schemes compress and encode the overall data o

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  • G-PCC point cloud coding improvement method based on ground segmentation
  • G-PCC point cloud coding improvement method based on ground segmentation
  • G-PCC point cloud coding improvement method based on ground segmentation

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[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0038] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention relates to a G-PCC point cloud coding improvement method based on ground segmentation. The method comprises the following steps: S1, providing point cloud data, carrying out preprocessing of point clouds through a rapid ground segmentation algorithm, and segmenting the point cloud data into ground point clouds and non-ground point clouds; S2, converting the segmented ground point clouds into distance images, and coding the distance images based on an encoder of a JPEG algorithm; and S3, coding the segmented non-ground point clouds by using a G-PCC coding module. The method mainly aims at sparse point clouds dynamically acquired by the laser radar, and has the characteristics of high efficiency, high compression ratio, low complexity and the like.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to an improved method for G-PCC point cloud coding based on ground segmentation. Background technique [0002] After obtaining the spatial coordinates of each sampling point on the surface of the object, a collection of points is obtained, which is called "Point Cloud". Point cloud has been widely used in the field of autonomous driving. Many scholars have conducted in-depth research on point cloud encoding and compression. Point cloud usually has two types: sparse point cloud and dense point cloud. The attribute of sparse point cloud is usually reflection intensity ( Intensity), the attribute value of dense point cloud is usually color information (RGB). With the continuous improvement of lidar scanning hardware technology, the amount of point cloud data acquired is increasing. At present, the data storage capacity of vehicle lidar after driving for several kilometers usually reac...

Claims

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Application Information

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IPC IPC(8): H04N19/625H04N19/70H04N19/91H04N19/96H04N19/50
CPCH04N19/70H04N19/96H04N19/50H04N19/625H04N19/91
Inventor 郑明魁黄昕王泽峰王适陈建
Owner FUZHOU UNIV
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