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Decision rules for attribute smoothing

A smooth and attribute technology, applied in image enhancement, image analysis, instrumentation, etc., can solve the problem of reducing the visual quality of point cloud and achieve effective compression and decompression

Pending Publication Date: 2022-05-10
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compressing and decompressing 2D frames produces artifacts that degrade the visual quality of the point cloud

Method used

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  • Decision rules for attribute smoothing
  • Decision rules for attribute smoothing
  • Decision rules for attribute smoothing

Examples

Experimental program
Comparison scheme
Effect test

example 850

[0300] The following parameters are used for Figure 8B Example 850. for Figure 8B For example 850, the point cloud dimension is 1024*1024*1024. The grid consists of 8*8*8 uniform cells. Therefore, based on the size of the point cloud and the size of each cell, there can be 2,097,152 cells in the grid (because 128*128*128). First, lookup table 852 is initialized to -1. That is, the cell index values ​​from index 0 to the maximum number of cells in the grid are initialized to a value of -1.

[0301] Decoder 550 identifies a boundary point located at (66, 87, 46). Due to the fact that each cell is in size 8*8*8, the identified boundary point will be in cell (8, 10, 5) (since (int[66 / 8], int[87 / 8], int[ 46 / 8])). Then, the decoder recognizes that the boundary point is located in the lower left front part of the cell, since 66%8=24, 46%8=5>4. So the seven neighboring cells would be: (i) the left cell (7, 10, 5), (ii) the lower cell (8, 11, 5), (iii) the lower left cell (7,...

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Abstract

A method for point cloud decoding includes receiving a bitstream. The method also includes decoding the bitstream into a plurality of frames including pixels. Portions of the pixels are organized into slices and correspond to respective point clusters of the 3D point cloud. The method also includes decoding the occupancy map frame from the bitstream. The occupancy map frame indicates portions of pixels comprised in the plurality of frames representing points of the 3D point cloud. In addition, the method includes reconstructing the 3D point cloud using the plurality of frames and occupancy map frames. The method also includes determining whether to perform smoothing on the 3D point cloud based at least in part on characteristics of the plurality of frames. Based on the determination to perform smoothing, the method includes performing smoothing on the 3D point cloud.

Description

technical field [0001] The present invention generally relates to multimedia data. More specifically, the present disclosure relates to devices and methods for compressing and decompressing point clouds. Background technique [0002] Three hundred sixty degree (360°) video is becoming a new way to experience immersive video due to the ready availability of powerful handheld devices such as smartphones. 360° video provides consumers with an immersive "real life", "being there" experience by capturing a 360° view of the world. Users can interactively change their point of view and dynamically view any part of the captured scene or object they desire. Display and navigation sensors track the user's head movement in real time to determine the area of ​​the 360° video the user wants to view. Multimedia data that is three-dimensional (3D) in nature, such as point clouds, can be used in immersive environments. [0003] A point cloud is a set of points representing an object in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/597G06T3/40G06T5/00G06T5/50G06T9/00
CPCH04N19/597G06T3/40G06T5/50G06T9/001G06T2207/10024G06T2207/10028G06T5/70H04N19/186H04N19/70H04N19/184H04N19/86H04N19/44G06T9/00
Inventor 拉詹·拉克西曼·乔希侯赛因·纳贾夫扎德·阿兹甘地曼德乎卡尔·布达加维
Owner SAMSUNG ELECTRONICS CO LTD