3D Point Cloud Encoding Layered Arithmetic Tables
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Solution Overview
Problem
There is a demand to reduce the code amount in encoding three-dimensional data, which is challenging due to the large amount of data involved in representing three-dimensional structures using point clouds.
Innovation Solution
A method for encoding three-dimensional data by classifying points into multiple layers and using distinct arithmetic encoding tables for each layer, allowing for efficient encoding and decoding of attribute information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single encoding table is used for all three-dimensional points, then the encoding process is simple, but the code amount cannot be reduced effectively
Solution Approach 1:
The patent divides the point cloud into multiple layers (first layer, second layer, etc.) based on spatial distance from the camera. Different encoding tables are assigned to different layers, allowing each layer to be encoded independently with optimized parameters. This segmentation enables effective code amount reduction while maintaining manageable encoding complexity through hierarchical structure.
Solution Approach 2:
The patent applies different encoding tables to different layers of points based on their spatial characteristics. Points closer to the camera (first layer) use one encoding table optimized for their distribution, while points farther away (second layer) use another encoding table optimized for their different spatial distribution. This local quality approach reduces overall code amount by optimizing encoding parameters for each region.
2Quantity of substance
If multiple encoding tables are used for different layers, then the code amount is reduced, but the encoding process becomes more complex
Solution Approach 1:
The patent pre-defines multiple encoding tables with different parameters before the actual encoding process. These encoding tables are prepared in advance and stored, allowing the encoder to simply select the appropriate table based on the point layer during encoding. This preliminary preparation simplifies the encoding process while enabling code amount reduction through optimized tables.
Solution Approach 2:
The patent implements a dynamic encoding process where the selection of encoding tables adapts to the spatial distribution of points in different layers. The encoder dynamically switches between different encoding tables based on the layer identifier of each point, allowing flexible adaptation to varying spatial characteristics while maintaining a systematic approach to the encoding process.
Data Source
AI summary
A three-dimensional data encoding method of encoding three-dimensional points each having an attribute information item includes: classifying each of the three-dimensional points into any of layers including a first layer and a second layer; and arithmetic-encoding an attribute information item of a current three-dimensional point among the three-dimensional points with reference to a first encoding table when the current three-dimensional point is at the first layer, and with reference to a second encoding table not dependent on the first encoding table when the current three-dimensional point is at the second layer.