3D Point Cloud Attribute Coding for Accurate Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for encoding and decoding three-dimensional data, particularly point cloud data, fail to accurately decode attribute information, leading to inefficiencies in data transmission and processing.
Innovation Solution
A method and device for encoding and decoding three-dimensional data that includes generating a bitstream with control information and attribute control information, using identification and reference values to correctly identify and decode attribute information of three-dimensional points, thereby reducing data volume and improving coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If point cloud data is compressed using existing encoding methods, then data transmission efficiency is improved, but attribute information decoding accuracy deteriorates
Solution Approach 1:
The patent segments attribute information into multiple types (e.g., color, reflectance, transparency) and applies separate control information for each type. This segmentation allows the decoder to correctly identify and process each attribute type independently, maintaining decoding accuracy while enabling efficient compression of the overall data stream.
Solution Approach 2:
The patent introduces control information and first attribute control information as intermediary elements between the encoded attribute data and the decoder. These intermediaries carry identification information that guides the decoding process, ensuring accurate reconstruction of attribute information without compromising transmission efficiency.
2Quantity of substance
If data compression is applied to reduce point cloud size, then storage requirements are reduced, but decoding reliability deteriorates
Solution Approach 1:
The patent applies preliminary action by organizing and tagging attribute information with control information before compression. This pre-processing ensures that even after aggressive compression, the decoder can reliably identify and reconstruct each attribute type correctly, maintaining decoding reliability while achieving significant data volume reduction.
Solution Approach 2:
The patent implements feedback mechanisms through control information that provides guidance to the decoder about the structure and types of encoded attribute data. This feedback loop ensures that the decoder can accurately reconstruct the original attribute information, maintaining reliability despite data compression.
3Measurement precision
If attribute information is encoded with detailed control data, then decoding accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by providing detailed control information only where needed for different attribute types. Rather than uniformly complex encoding for all data, the system tailors the level of control information to each specific attribute type, maintaining decoding accuracy while minimizing unnecessary complexity in the encoding device.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
A three-dimensional data encoding method includes: encoding pieces of attribute information of respective three-dimensional points, using parameters (S6701); and generating a bitstream including the pieces of attribute information encoded, control information, and pieces of first attribute control information (S6702). The control information corresponds to the pieces of attribute information and includes pieces of type information each indicating a type of different attribute information, the pieces of first attribute control information correspond one-to-one with the pieces of attribute information, and each of the pieces of first attribute control information includes first identification information indicating that the first attribute control information is associated with one of the pieces of type information.