3D Point Cloud Encoding With Source-Aware Attribute Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing three-dimensional data encoding and decoding methods require significant processing resources due to the large amount of data involved in point cloud representation, lacking efficient methods for reducing processing loads.
Innovation Solution
A method and device for encoding and decoding three-dimensional data by combining first and second point cloud data, incorporating control information to determine the origin of each point, allowing for reduced processing through lossless encoding and improved coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If point cloud data is combined from multiple sources, then the completeness and accuracy of three-dimensional data is improved, but the processing load and data volume increase
Solution Approach 1:
The patent divides the combined point cloud data into multiple segments, each associated with specific source information (first point cloud data or second point cloud data). This segmentation allows the decoding device to process only the necessary segments based on control information, reducing overall processing load while maintaining the completeness and accuracy of the combined three-dimensional data structure.
2Measurement precision
If attribute information is stored for each three-dimensional point, then the accuracy and detail of the data is improved, but the data volume and processing requirements increase
Solution Approach 1:
The patent incorporates control information during the encoding process that preliminarily indicates which attribute information is present and where it is located in the encoded data structure. This preliminary action allows the decoding device to efficiently locate and process only the necessary attribute information without having to search through the entire data set, thereby reducing processing requirements while maintaining data accuracy.
3Productivity
If control information is added to indicate data origin, then the ability to reduce processing load is improved, but the encoding complexity increases
Solution Approach 1:
The patent merges the control information with the existing encoded data structure in a unified format. The control information is integrated into the encoded data rather than being stored separately, which allows the decoding device to access both the data and the control information simultaneously. This merging approach reduces the additional encoding complexity while maintaining the ability to efficiently reduce processing load during decoding.
Data Source
AI summary
A three-dimensional data encoding method includes: generating encoded data by encoding third point cloud data that is a combination of first point cloud data and second point cloud data; and generating a bitstream including the encoded data and control information. The encoded data includes a piece of geometry information and pieces of attribute information of each of three-dimensional points included in the third point cloud data. One of the pieces of attribute information includes first information indicating whether a corresponding one of the three-dimensional points belongs to the first point cloud data or the second point cloud data. The control information includes second information indicating, among the pieces of attribute information, a piece of attribute information including the first information.