Point cloud encoding and decoding method, encoding device and decoding device

An encoding method and technology of encoding equipment, applied in image encoding, image data processing, instruments, etc., can solve problems such as low prediction accuracy and reduced encoding and decoding performance.

Active Publication Date: 2019-06-14
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, the above related technologies only consider the distance to predict the attribute value when determining the neighbor points, and the determined neighbor points are distributed on the same side of the current point, resulting in low prediction accuracy and reduced encoding and decoding performance.

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  • Point cloud encoding and decoding method, encoding device and decoding device
  • Point cloud encoding and decoding method, encoding device and decoding device
  • Point cloud encoding and decoding method, encoding device and decoding device

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Embodiment Construction

[0051] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with 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.

[0052] figure 1 A schematic flowchart of a point cloud encoding method according to an embodiment of the present invention is shown. figure 1 The shown method may be performed by an encoding device, such as an encoder, specifically, as figure 1 As shown, method 1000 includes:

[0053] S1100, determining a point set composed of K nearest neighbor points of the current point;

[0054] S1200, determining a point set composed of L second nearest neighbor...

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Abstract

The invention provides a point cloud encoding and decoding method, an encoding device and a decoding device. The method comprises the steps of determining a point set composed of K nearest neighbor points of a current point; determining a point set composed of L secondary neighbor points of the current point; determining a preferred neighbor point set of the current point according to a point setcomposed of K nearest neighbor points of the current point and a point set composed of L secondary neighbor points of the current point; and performing coding processing according to the preferred neighbor point set of the current point. Therefore, the point cloud coding performance can be improved by selecting the properly distributed neighbor point set.

Description

technical field [0001] The invention relates to the field of point cloud processing, in particular to a point cloud encoding and decoding method, encoding device and decoding device. Background technique [0002] A point cloud is a set of discrete point sets randomly distributed in space that express the spatial structure and surface properties of a three-dimensional object or scene. Each point in the point cloud has at least three-dimensional position information, and may also have color, material or other information depending on the application scenario. Typically, each point in a point cloud has the same number of additional attributes. [0003] 3D point cloud is an important form of digitalization 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 i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/169H04N19/50H04N19/146
CPCH04N19/50H04N19/146H04N19/169G06T9/001G06T9/004G06T7/75
Inventor 李革魏红莲邵薏婷
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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