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3D point cloud compression method

A point cloud and 3D technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as difficult to achieve lossless compression and low compression rate, and achieve the effect of improving performance and efficiency

Inactive Publication Date: 2019-10-22
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] Aiming at the defects in the prior art, the purpose of the present invention is to provide a 3D point cloud compression method based on hierarchical clustering and mapping, so as to solve the problems of low compression rate and difficulty in realizing lossless compression in the existing methods

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Embodiment Construction

[0036] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0037] A kind of 3D point cloud compression coding method of the present invention is characterized in that, comprises the following steps:

[0038] Step S1: Divide the points in the point cloud into several categories, and make the points in each category very similar in terms of spatial coordinates and color attributes;

[0039] Step S2: Then compress and code each class separately.

[0040] Wherein, in step S1, hierarchical clustering is used for segmentation.

[0041] Point clouds usually contain ...

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Abstract

The invention provides a 3D point cloud compression coding method, which comprises a hierarchical clustering algorithm for point clouds and is used for dividing points in the point clouds into classeswith different attributes, and the points in the same class have similar attributes. The method comprises an optimal mapping algorithm for mapping the point cloud into a two-dimensional image, so that the point cloud data is compressed by using an efficient image coding method. According to the method, the point cloud is mapped into the regular two-dimensional image, so that the point cloud datais compressed by utilizing an image compression technology, and the performance and the efficiency of a point cloud compression algorithm are greatly improved.

Description

technical field [0001] The present invention relates to the field of 3D media compression coding, and more specifically, to a 3D point cloud compression method. Background technique [0002] With the rapid development of 3D data acquisition equipment, it is becoming more and more convenient and fast to use 3D point cloud to describe 3D objects and reproduce 3D scenes. 3D point cloud is a new data format for recording and representing surface information of three-dimensional objects. Point cloud data is a collection of a series of points in space, which contain three-dimensional coordinates and one or more attribute information, such as color, normal vector, reflection intensity, etc. Compared with other 3D data formats, point cloud has the advantages of convenient acquisition and simple processing, so it is widely used in various emerging fields, such as augmented reality (AR), autonomous driving, and 3D printing. However, compared with traditional data forms such as image...

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Application Information

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IPC IPC(8): G06T9/00G06T19/00
CPCG06T9/00G06T19/00
Inventor 徐异凌张文军张渴朱文婕柳宁管云峰
Owner SHANGHAI JIAO TONG UNIV
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