3D Point Cloud Decoding with Curved Surface Approximation

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Solution Overview

Problem

Existing decoding methods for three-dimensional point clouds using irreversible compression schemes result in imperfect reproduction of the original data, necessitating improved reproducibility of decoded point clouds.

Innovation Solution

A decoding method that determines whether to specify a curved surface or a plane for approximating three-dimensional points based on encoded information, using techniques like TriSoup and mesh schemes, and adjusts vertex positions to enhance reproducibility.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of substance

If irreversible compression scheme is used for point cloud encoding, then compression ratio is improved, but reproducibility of decoded point cloud deteriorates

Engineering Contradiction:

Improvedata compression ratioVSAvoidreproducibility of decoded point cloud

Core Design Contradiction:

Loss of substanceVSManufacturing precision

Solution Approach 1:

The patent applies curved surface approximation to model point cloud data, using quadratic Bézier surfaces and B-spline surfaces to represent three-dimensional shapes. This curvature-based approach enables the decoded point cloud to better reproduce complex geometric features including protrusions and depressions, thereby improving reproducibility while maintaining compression efficiency

Inventive Principle:

Principle #14Spheroidality (Curvature)

Solution Approach 2:

The patent introduces control points and adjustment parameters for curved surface approximation. By modifying parameters such as control point positions, surface degree, and approximation coefficients, the system can dynamically adjust the balance between compression ratio and reproduction accuracy, allowing high-fidelity reconstruction even with irreversible compression

Inventive Principle:

Principle #35Parameter changes

2Manufacturing precision

If curved surface approximation is used to improve reproducibility, then manufacturing precision is improved, but device complexity increases

Engineering Contradiction:

Improvereproducibility of decoded point cloudVSAvoidcomplexity of decoding process

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent divides the point cloud data into multiple regions or patches, each approximated by separate curved surfaces. This segmentation allows the complex decoding process to be broken down into manageable segments, reducing overall computational complexity while maintaining high reproduction accuracy for each local region

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies curved surface approximation selectively to regions where it provides the most benefit, rather than uniformly to all point cloud data. By identifying and prioritizing critical geometric features that require high-fidelity reproduction, the system achieves improved overall reproducibility with reduced computational overhead

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250209677A1Decoding method

Publication Date: 2025.06.26 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA

AI summary

A decoding method includes: receiving encoded information relating to three-dimensional points; and determining, based on the encoded information, whether to specify a curved surface with which the three-dimensional points are to be approximated.