3D Point Cloud Attribute Encoding for Type-Aware Decoding

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Solution Overview

Problem

Existing methods for encoding and decoding three-dimensional data, particularly point cloud data, lack the ability to efficiently decode attribute information of three-dimensional points, leading to challenges in data compression and transmission.

Innovation Solution

A method and device for encoding and decoding three-dimensional data that includes encoding attribute information using parameters, generating a bitstream with control information indicating the type of attribute information, and utilizing identification information to correctly decode the attribute information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If attribute information of three-dimensional points is encoded without proper type identification, then encoding complexity is reduced, but decoding accuracy deteriorates due to inability to correctly identify attribute types

Engineering Contradiction:

Improveencoding complexityVSAvoiddecoding accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The attribute information encoding is segmented into distinct components: type information fields that identify the category of attribute information, and separate attribute data fields. This segmentation allows the decoder to correctly identify and process different types of attribute information (such as color, reflectance, or other properties) without confusion, thereby maintaining decoding accuracy while keeping the encoding structure organized and manageable.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Type information fields serve as intermediary elements between the raw attribute data and the decoding process. These intermediary fields provide the necessary classification information that enables the decoder to correctly interpret the subsequent attribute data, resolving the contradiction by introducing a mediating layer that enhances decoding accuracy without significantly increasing overall encoding complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive control information including type information is added to the bitstream, then decoding accuracy is improved, but data transmission volume increases

Engineering Contradiction:

Improvedecoding accuracyVSAvoiddata transmission volume

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The type information fields use compact parameter representations that efficiently encode attribute category information. By optimizing the parameter encoding scheme for type information, the patent achieves accurate attribute identification while minimizing the additional data volume required in the bitstream, thus resolving the contradiction between decoding accuracy and transmission volume.

Inventive Principle:

Principle #35Parameter changes

3Quantity of substance

If point cloud data is compressed for transmission, then data transmission volume is reduced, but attribute information decoding capability deteriorates

Engineering Contradiction:

Improvedata transmission volumeVSAvoidattribute information decoding capability

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The encoding process performs preliminary organization of attribute information by inserting type information fields before the actual attribute data in the bitstream. This preliminary action of structuring and labeling attribute information enables the decoder to correctly interpret compressed data, thereby maintaining attribute decoding capability even when the overall data transmission volume is reduced through compression.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The type information fields provide a form of feedback mechanism that guides the decoding process. By including classification information in the compressed bitstream, the decoder receives feedback about the nature of the upcoming data, enabling it to correctly process compressed attribute information and maintain decoding accuracy despite the reduced data volume.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250220234A1Three-dimensional data encoding method, three-dimensional data decoding method, three-dimensional data encoding device, and three-dimensional data decoding device

Publication Date: 2025.07.03 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA

AI summary

A three-dimensional data encoding method includes: encoding pieces of attribute information of respective three-dimensional points, using parameters; and generating a bitstream including the pieces of attribute information encoded, control information, and pieces of first attribute control information. 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.