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Dynamic point cloud coding rate distortion optimization method based on visual perception and partitioning

A technology of visual perception and optimization method, applied in digital video signal modification, image communication, electrical components, etc., to achieve the effect of ensuring subjective quality

Pending Publication Date: 2022-07-29
NINGBO UNIV
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  • Claims
  • Application Information

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Problems solved by technology

However, the huge data volume of dynamic point cloud poses a challenge to its efficient encoding and efficient transmission

Method used

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  • Dynamic point cloud coding rate distortion optimization method based on visual perception and partitioning
  • Dynamic point cloud coding rate distortion optimization method based on visual perception and partitioning
  • Dynamic point cloud coding rate distortion optimization method based on visual perception and partitioning

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Embodiment Construction

[0040] The present invention will be further described in detail below with reference to the embodiments of the accompanying drawings.

[0041] The present invention proposes a dynamic point cloud coding rate-distortion optimization method based on visual perception and partitioning. The overall implementation block diagram is as follows: figure 1 shown, it includes the following steps:

[0042] Step 1: Use the V-PCC standard projection method to map the color information of the dynamic point cloud of the character to a color video, and map the geometric information of the dynamic point cloud of the character to a geometric video, and generate an occupancy map sequence synchronously during mapping. The sequence of occupancy maps is used to distinguish occupied pixels (also called point cloud pixels) from non-occupied pixels (also called fill pixels) in color and geometric videos; each occupancy map in the sequence of occupancy maps has each The pixel value of the pixel is 1 o...

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Abstract

The invention discloses a dynamic point cloud coding rate distortion optimization method based on visual perception and partitioning. The method comprises the following steps: mapping color information of a character dynamic point cloud into a color video, and mapping geometric information into a geometric video; obtaining a tolerance threshold value of color distortion through the background brightness masking degree and the color texture masking degree of each pixel in the color video, and further obtaining a perception-based quantization parameter offset of each tree structure unit; obtaining a tolerance threshold value of geometric distortion through the geometric complexity masking degree of each pixel in the geometric video, and further obtaining a perception-based quantization parameter offset of each tree structure unit; combining the occupancy graph to obtain an occupancy graph-based quantization parameter offset of each tree structure unit in the color video and the geometric video; different quantization parameters are adopted for tree structure units belonging to the region of interest or the full perception region or the partial perception region or the non-perception region; the method has the advantages that the coding efficiency can be effectively improved, and the subjective quality can be ensured.

Description

technical field [0001] The invention relates to a dynamic point cloud coding technology, in particular to a dynamic point cloud coding rate-distortion optimization method based on visual perception and partitioning. Background technique [0002] A point cloud is a collection of points on 3D coordinates, which describe a 3D scene or a 3D object by geometric position (X, Y, Z), attributes (color (R, G, B), reflectivity, normal), etc. . Compared with traditional imaging methods, as an efficient representation of three-dimensional objects in visual media, point clouds can provide audiences with an immersive and immersive visual experience, and have been widely used in medical imaging, virtual museums, automated Driving, free-view video systems and many other fields. In recent years, with the rapid development of 3D imaging, integrated circuits and computing technology, people can quickly acquire and process high-precision and large-density dynamic point clouds. However, the h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/147H04N19/186H04N19/182H04N19/172H04N19/124H04N19/117
CPCH04N19/147H04N19/186H04N19/182H04N19/172H04N19/117H04N19/124
Inventor 陈驰蒋刚毅郁梅
Owner NINGBO UNIV
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