3D Point Cloud Attribute Encoding with Frame-Level Transform Control

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Solution Overview

Problem

Existing three-dimensional data encoding methods lack efficiency in compressing and transmitting large amounts of point cloud data, necessitating improved encoding techniques for efficient data representation and transmission.

Innovation Solution

A method involving transforming attribute information of three-dimensional points in frames and encoding it with sequence and frame-specific parameters to generate a bitstream, allowing for selective control of transform processes to enhance coding efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If point cloud data is compressed using existing encoding methods, then data transmission efficiency is improved, but encoding efficiency remains insufficient for handling massive amounts of three-dimensional data

Engineering Contradiction:

Improveencoding efficiencyVSAvoidamount of three-dimensional data

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The attribute information is divided into multiple components (e.g., intensity, distance, reflectance) and each component is encoded separately with dedicated parameters. This segmentation allows optimized compression for each attribute type, improving overall encoding efficiency while handling large volumes of point cloud data.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces multiple encoding parameters including sequence-level parameters and frame-level parameters that can be dynamically adjusted. By changing parameters such as quantization precision, transform block size, and prediction modes based on data characteristics, the encoding efficiency is significantly improved for different types of three-dimensional data.

Inventive Principle:

Principle #35Parameter changes

2Loss of energy

If compression is applied to reduce data amount, then transmission efficiency is improved, but loss of information may occur

Engineering Contradiction:

Improvedata transmission overheadVSAvoidpoint cloud attribute information

Core Design Contradiction:

Loss of energyVSLoss of information

Solution Approach 1:

Different quantization parameters are applied to different attribute components based on their importance and variability. Critical attributes maintain higher precision while less critical attributes use coarser quantization, achieving a balance between compression ratio and information preservation.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The encoding process applies different compression strategies to different spatial regions and attribute types. Important regions with high detail requirements use finer encoding, while less important regions use coarser encoding, optimizing the trade-off between data size and information quality.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260006246A1Three-dimensional data encoding method, three-dimensional data decoding method, three-dimensional data encoding device, and three-dimensional data decoding device

Publication Date: 2026.01.01 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA

AI summary

A three-dimensional data encoding method includes: obtaining second attribute information obtained by transforming first attribute information of a three-dimensional point in at least one frame among frames, the frames constituting a sequence; and encoding the second attribute information to generate a bitstream. The transforming is different from quantization, and the bitstream further includes: at least one first parameter provided for the sequence for the transforming; and at least one second parameter provided for each of the at least one frame for the transforming.