A color attribute coding method based on TMC3 point cloud encoder

An encoding method and encoder technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as ineffective methods

Active Publication Date: 2019-01-22
SHANDONG UNIV
View PDF4 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the attribute information is encoded by differential encoding, the selection of the first prediction point is particularly important for the performance of differential encoding, that is, the method of selecting the starting point of prediction in TMC3 is not very effective.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A color attribute coding method based on TMC3 point cloud encoder
  • A color attribute coding method based on TMC3 point cloud encoder
  • A color attribute coding method based on TMC3 point cloud encoder

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0074] A color attribute encoding method based on a TMC3 point cloud encoder, running on the TMC3 point cloud encoder, the TMC3 point cloud encoder comprising an encoding end and a decoding end, the encoding end being connected to the decoding end, comprising the steps of as follows:

[0075] A. Execute steps (1) to (7) at the encoding end, such as figure 1 shown, including:

[0076] (1) Quantify the position information of the point cloud; including:

[0077] a. Import the point cloud data, and find the smallest component of the three components of the position information (x, y, z) in the entire point cloud data, and form the smallest point: X min =(min(x I ),min(y I ),min(z I )), i=0...N-1, (x i , y i ,z i ) represents the position information of the i-th point, and N is the number of points;

[0078] b. The quantized point cloud data is obtained by formula (III):

[0079]

[0080] In formula (III), s represents the quantization step size, X i represents each ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a color attribute encoding method based on a TMC3 point cloud encoder. According to the TMC3 flow, the invention encodes the position information by using an octree structurewhile reserving the encoding sequence. After that, the centroid of the position information is calculated and kd-tree is used to find the point closest to the centroid as the first point in the detaillayer (LoD) generation process. The approximate color value and the predicted color information are differentially encoded. This method reduces the coding rate of color information by using the feature that the difference between the approximate color value and the predicted color value is reduced from the center of mass. The experimental results show that the invention achieves better effect than TMC3 in chromaticity information processing.

Description

technical field [0001] The invention relates to a color attribute encoding method based on a TMC3 point cloud encoder, belonging to the technical field of image processing. Background technique [0002] 3D point cloud data has begun to spread to various fields, such as virtual / augmented reality, robotics, geographic information systems, medical fields, etc. With the development of 3D point cloud data and the continuous improvement of the benchmark and speed of 3D point cloud data scanning equipment (such as lidar, Kinect somatosensory camera), people can accurately obtain a large amount of point cloud data on the surface of objects, often in one scene. The point cloud data can include hundreds of thousands of points. Such a huge amount of point cloud data also brings challenges to computer storage and transmission. Therefore, the compression of 3D point cloud data has become a hot issue. [0003] For 3D point cloud data, in the field of compression, it mainly deals with i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/96H04N19/186
CPCH04N19/124H04N19/186H04N19/96
Inventor 元辉刘昊刘祺王韦韦
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products