3D Point Cloud Attribute Reordering for Encoding Efficiency
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Solution Overview
Problem
Current methods for encoding three-dimensional data are inefficient, leading to increased data sizes and transmission times, which hinder the widespread adoption of three-dimensional data applications in fields like autonomous vehicles and map information.
Innovation Solution
A three-dimensional data encoding method that re-orders attribute information of three-dimensional points based on their proximity in value, followed by encoding these re-ordered data in a bitstream, along with order information indicating the original predetermined order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If three-dimensional data is encoded using conventional methods, then the data can be stored and transmitted, but the data size remains large and transmission time increases
Solution Approach 1:
The patent applies preliminary action by re-ordering the attribute information of three-dimensional points before encoding. Specifically, points are re-ordered based on their attribute values (such as color or intensity) so that similar values are adjacent to each other in the encoded sequence. This pre-processing step creates local correlations that enable more efficient compression during the subsequent encoding phase, reducing the overall data size and transmission time without requiring changes to the actual three-dimensional data structure
2Productivity
If attribute information is encoded without re-ordering, then the encoding process is simple and fast, but the encoding efficiency is low and data size is large
Solution Approach 1:
The patent applies preliminary action by re-ordering the attribute information of three-dimensional points before encoding. Specifically, points are re-ordered based on their attribute values (such as color or intensity) so that similar values are adjacent to each other in the encoded sequence. This pre-processing step creates local correlations that enable more efficient compression during the subsequent encoding phase, reducing the overall data size and transmission time without requiring changes to the actual three-dimensional data structure
Solution Approach 2:
The patent applies parameter changes by modifying the order parameter of the attribute information sequence. Instead of encoding points in their original spatial or arbitrary order, the system changes the ordering parameter to sort points by their attribute values. This parameter transformation creates a more compressible data sequence while maintaining all original information, thereby improving encoding efficiency without losing data fidelity
Data Source
AI summary
A three-dimensional data encoding method of encoding three-dimensional points includes: re-ordering, in a re-ordered data order, pieces of attribute information of the three-dimensional points arranged in a predetermined order; encoding the pieces of attribute information re-ordered in the re-ordering, in accordance with the re-ordered data order; and generating a bitstream including (i) order information indicating the predetermined order and (ii) the pieces of attribute information encoded in the encoding.


