3D Shape Generation With Adaptive Point-Cloud Processing

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Solution Overview

Problem

Existing three-dimensional model generation systems are difficult for inexperienced users to operate due to complex point cloud processing software with numerous parameters, and automation fails in non-ideal conditions, leading to increased labor and costs in generating three-dimensional shape information.

Innovation Solution

A three-dimensional shape generation apparatus and system that allows users to select between manual, automatic, or mixed processing modes for generating three-dimensional shape information, using a terminal device and management server to facilitate user-friendly generation of three-dimensional shape information based on user skill level, with integrated point-group processing, noise removal, segmentation, and modeling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic processing is used for three-dimensional shape generation, then productivity is improved, but reliability deteriorates in non-ideal conditions

Engineering Contradiction:
Improvethree-dimensional shape generation efficiencyVSAvoidprocessing success rate in non-ideal conditions
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system dynamically switches between automatic and manual processing modes based on the complexity and quality of the point cloud data. When automatic processing succeeds, the system uses it for high productivity; when it fails or data quality is poor, the system transitions to manual processing mode to ensure reliability, thus adaptively optimizing the balance between efficiency and success rate.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system introduces an intermediate evaluation mechanism that assesses point cloud data quality and processing results. This intermediary layer determines whether to proceed with automatic processing, switch to manual processing, or request additional data collection, thereby maintaining reliability while preserving the efficiency benefits of automation where applicable.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If manual processing is used for three-dimensional shape generation, then reliability is improved, but productivity deteriorates

Engineering Contradiction:
Improveprocessing accuracy and controlVSAvoidthree-dimensional shape generation speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system applies manual processing only partially - specifically when automatic processing fails or when data quality metrics fall below thresholds. For the majority of cases with good data quality, automatic processing is used to maintain high productivity, while manual processing serves as a targeted intervention to ensure reliability in problematic cases.

Inventive Principle:
Principle #16Partial or excessive action

3Manufacturing precision

If complex point cloud processing software with numerous parameters is used, then manufacturing precision is improved, but ease of operation deteriorates

Engineering Contradiction:
Improvethree-dimensional shape accuracyVSAvoiduser friendliness
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The system implements self-service through automated parameter optimization and selection. The processing software automatically adjusts parameters based on point cloud data characteristics and selects appropriate processing algorithms without requiring user intervention. This maintains high manufacturing precision while eliminating the operational complexity that would otherwise require expert knowledge.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically changes processing parameters based on the characteristics of the input point cloud data. Rather than presenting users with numerous fixed parameters, the system automatically adapts parameters such as sampling density, filtering thresholds, and modeling algorithms to match the specific data characteristics, thereby maintaining precision while simplifying operation.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12380639B2Three-dimensional shape generation apparatus, three-dimensional shape generation system, three-dimensional shape generation method, and non-transitory recording medium
Publication Date: 2025.08.05 RICOH CO LTD
  • US12380639B2 patent drawing
  • US12380639B2 patent drawing
  • US12380639B2 patent drawing

AI summary

A three-dimensional shape generation apparatus includes circuitry configured to perform one of a first processing or a second processing to generate three-dimensional shape information using point-group information indicating three-dimensional point groups as a generation processing based on an instruction operation received at an instruction reception screen, the instruction operation designating one of the first processing or the second processing. The circuitry performs all processes or a part of processes of the generation processing based on an operation input received at the instruction reception screen in response to the instruction operation designating the first processing. The circuitry performs all processes of the generation processing using a stored processing previously stored in a memory without using the operation input received at the instruction reception screen in response to the instruction operation designating the second processing.