Point Cloud Processing Device Octant Segmentation
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Solution Overview
Problem
Existing methods for processing point cloud data face challenges in efficiently handling large amounts of data, leading to latency and complexity in encoding and decoding processes.
Innovation Solution
A method and device for processing point cloud data by encoding geometry and attribute information, and transmitting a bitstream containing the encoded data, with the ability to receive and decode this bitstream for rendering point cloud content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If point cloud data with large amount of points is processed to represent three-dimensional content, then the quality and detail of point cloud content is improved, but the processing time and latency increase
Solution Approach 1:
The patent divides the point cloud data into multiple octants based on spatial segmentation. Each octant is processed independently through encoding and decoding operations, allowing parallel processing and reducing the overall processing time while maintaining the quality of the complete point cloud representation.
Solution Approach 2:
The patent introduces an octant dimension to organize and process point cloud data. By transforming the processing approach from handling all points simultaneously to processing segmented octants, the system achieves better time management and reduces latency without sacrificing spatial detail.
2Reliability
If comprehensive encoding and decoding of point cloud data is performed to maintain high quality, then the data完整性 is improved, but the encoding/decoding complexity increases
Solution Approach 1:
The patent segments the point cloud data into octants and applies independent encoding and decoding operations to each octant. This segmentation allows the system to maintain data integrity through comprehensive processing while reducing the complexity of any single processing operation, as each octant can be handled independently.
Solution Approach 2:
The patent applies encoding and decoding operations to specific octants based on the requirements of the application. Instead of always processing the entire point cloud, the system can selectively process only the necessary octants, reducing overall complexity while maintaining integrity where needed.
Data Source
AI summary
A method for processing point cloud data according to embodiments may encode and transmit point cloud data. The method for processing point cloud data according to embodiments may receive and decode the point cloud data.