Point Cloud Transmission Geometry Encoding
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Solution Overview
Problem
Current methods for processing point cloud data face challenges in efficiently transmitting and receiving large amounts of data, particularly in addressing latency, encoding/decoding complexity, and improving compression performance, especially in preserving critical points during lossy compression and enabling single recoloring after geometry compression.
Innovation Solution
A method involving encoding geometry information, attribute information, and signaling information, where geometry information is sampled, an octree is generated, and occupancy codes are compressed, with sampling information included in the geometry bitstream to facilitate efficient transmission and decoding, allowing for single recoloring and improved compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If point cloud data is transmitted with high compression ratio, then transmission efficiency is improved, but reconstruction quality deteriorates
Solution Approach 1:
The point cloud data is segmented into multiple layers including a first layer with first points and a second layer with second points. This segmentation allows differential processing where critical first points are preserved with higher fidelity while less critical second points undergo greater compression, resolving the contradiction between compression efficiency and reconstruction quality.
Solution Approach 2:
Different quality levels are applied to different regions of the point cloud data. The first points in the first layer are maintained with higher precision and less compression, while the second points in the second layer are compressed more aggressively. This local quality differentiation allows the system to achieve good overall reconstruction quality while maintaining high transmission efficiency.
2Loss of information
If all point data is processed through complex encoding, then compression performance is improved, but encoding complexity increases
Solution Approach 1:
The encoding process is segmented into different stages for different point layers. The first layer points undergo more sophisticated encoding to preserve critical geometric information, while the second layer points use simpler encoding schemes. This segmentation of the encoding process improves compression performance for critical data while reducing overall encoding complexity through selective processing.
Solution Approach 2:
Instead of applying full complex encoding to all points, the system applies partial encoding actions - using simpler encoding for the second layer points while reserving complex encoding only for the first layer points where it is most needed. This partial action approach reduces overall encoding complexity while maintaining sufficient compression performance.
3Manufacturing precision
If high resolution point cloud data is transmitted, then service quality is improved, but transmission bandwidth requirement increases
Solution Approach 1:
The high resolution point cloud data is segmented into multiple layers with different resolution requirements. The first layer contains critical high-resolution points that define the main geometric structure, while the second layer contains lower-resolution supplementary points. This segmentation allows the system to transmit essential high-quality information efficiently while reducing overall bandwidth requirements through selective compression of less critical data.
Solution Approach 2:
Different quality levels are transmitted for different regions of the point cloud. Critical regions represented by first layer points are transmitted with high resolution to maintain service quality, while non-critical regions represented by second layer points are transmitted with lower resolution. This local quality approach improves perceived service quality for important features while reducing total transmission bandwidth requirements.
Data Source
AI summary
A point cloud data transmission method according to embodiments may comprise the steps of: encoding geometry information including the positions of points of the point cloud data; encoding, on the basis of the geometry information, attribute information about the points of the point cloud data; and transmitting the encoded geometry information, the encoded attribute information and signaling information.