公开(公告)号：US20250142073A1

公开(公告)日：2025-05-01

申请号：US18681633

申请日：2022-08-23

Applicant: PENG CHENG LABORATORY

Inventor： Wenbo Zhao ,  Jing Wang ,  Ge Li ,  Wen Gao

IPC: H04N19/13 ,  G06T9/00 ,  H04N19/136 ,  H04N19/184

Abstract: A point cloud encoding method, decoding method, encoding device, and decoding device are disclosed. The point cloud encoding method includes calculating a distance from a first point to a parent point of the first point as a first distance; determining a point in un-encoded points closest to the first point as a second point, and calculating residual values on N coordinate components from the second point to the first point; encoding absolute values of the residual values on the N coordinate components from the second point to the first point; encoding signs of the residual values of the second point based on the residual values of the second point and the first distance. The present disclosure utilizes the geometry position relationship between points in a point cloud to encode the absolute values of residual values and the feasible signs of residual values, thereby improving the encoding efficiency of residual values. At the same time, by optimizing the encoding efficiency of residual values, the performance of point cloud prediction tree encoding is improved.

公开(公告)号：US20240233195A1

公开(公告)日：2024-07-11

申请号：US18563146

申请日：2022-06-10

Applicant: PENG CHENG LABORATORY

Inventor： Jing Wang ,  Qi Zhang ,  Yueru Chen ,  Ge Li ,  Wen Gao

IPC: G06T9/00

CPC classification number: G06T9/001

Abstract: A point cloud attribute prediction method and apparatus, a terminal and a storage medium are disclosed. The method includes obtaining target neighbor points corresponding to a target point by a first spatial distance, and determining an optimization weight corresponding to each target neighbor point respectively based on a second spatial distance, and finally determining an attribute prediction value corresponding to the target point based on each target neighbor point and optimization weight corresponding to each target neighbor point respectively. The present disclosure optimizes the weight corresponding to each target neighbor point respectively based on the spatial distance, which can improve the correlation between the geometry information and the attribute information of the point cloud, provide more accurate prediction values when performing point cloud attribute prediction, and thus improve the encoding and decoding performance of the point cloud attributes.

公开(公告)号：US20240233194A1

公开(公告)日：2024-07-11

申请号：US18562799

申请日：2022-06-10

Applicant: PENG CHENG LABORATORY

Inventor： Yueru Chen ,  Jing Wang ,  Ge Li ,  Wen Gao

IPC: G06T9/00

CPC classification number: G06T9/001

Abstract: A point cloud attribute encoding method and apparatus, a decoding method and apparatus, and a related device are disclosed. The point cloud attribute encoding method includes: sorting all point cloud data to be encoded to acquire sorted point cloud data, the point cloud data to be encoded being point cloud data with attributes to be encoded; grouping the sorted point cloud data based on correlation between the sorted point cloud data to acquire groups to be encoded; and performing point cloud attribute encoding based on the groups to be encoded. It is beneficial for enhancing the correlation between point cloud data within the group, improving the efficiency of decorrelation during intra group transform after grouping, and improving coding efficiency.

公开(公告)号：US20240371046A1

公开(公告)日：2024-11-07

申请号：US18683359

申请日：2022-08-23

Applicant: PENG CHENG LABORATORY

Inventor： Yueru Chen ,  Jing Wang ,  Ge Li ,  Wen Gao

IPC: G06T9/00

Abstract: A point cloud attribute encoding method and apparatus, decoding method and apparatus are disclosed. The point cloud attribute encoding method includes: sorting point cloud data to be encoded to obtain sorted point cloud data; constructing a multilayer structure based on the sorted point cloud data and distances between the sorted point cloud data; obtaining an encoding mode corresponding to each of nodes in the multilayer structure. The encoding mode corresponding to each of the nodes is a direct encoding mode, a predictive encoding mode, or a transform encoding mode. The predictive encoding mode is to encode a node based on information of a neighboring node corresponding to the node. The transform encoding mode is to encode the node based on a transform matrix; and encoding point cloud attributes for each of the nodes based on the multilayer structure and the respective encoding mode.