Fabric Image Correction for 3D Product Modeling Without Physical Samples

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Solution Overview

Problem

Existing methods require actual production of fabric products and expert software operation to provide virtual graphic images, limiting accessibility for general users.

Innovation Solution

A 3D modeling method that receives fabric images and information, corrects them, and generates 3D images of fabric products without physical production, allowing classification, storage, and display of these images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If actual fabric products are produced to provide virtual graphic images, then the visual accuracy of fabric products is improved, but the manufacturing cost and time are increased

Engineering Contradiction:
Improvevisual accuracyVSAvoidmanufacturing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent uses 2D fabric images as copies to generate 3D virtual fabric products, eliminating the need to produce actual physical samples. The system processes 2D images through correction and 3D modeling to create virtual representations that maintain visual accuracy without requiring physical manufacturing

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical process of physical fabric production with a computational image processing system. Instead of manually creating and photographing physical fabric samples, the system uses automated 2D image correction and 3D rendering algorithms to generate virtual fabric product images

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If expert software operation is used to provide virtual graphic images, then the quality of virtual fabric images is improved, but the ease of operation is deteriorated

Engineering Contradiction:
Improveimage qualityVSAvoiduser accessibility
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system performs automated 2D image correction and 3D modeling without requiring expert user intervention. The correction unit automatically adjusts 2D fabric images for lighting, shadow, and distortion, and the 3D modeling unit automatically generates 3D virtual products, making the process accessible to general users rather than requiring specialized software expertise

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent divides the complex image processing task into separate functional units: a correction unit that handles 2D image adjustments and a 3D modeling unit that generates 3D virtual products. This segmentation allows each unit to specialize in specific tasks, improving overall image quality while simplifying the user interface

Inventive Principle:
Principle #1Segmentation

3Productivity

If 2D fabric images are directly converted to 3D images without correction, then the processing speed is improved, but the manufacturing precision is deteriorated

Engineering Contradiction:
Improveprocessing speedVSAvoid3D modeling accuracy
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The system performs preliminary correction of 2D fabric images before 3D modeling, addressing issues like lighting, shadow, and distortion in advance. This preliminary action ensures that the input images are optimized for 3D conversion, maintaining high modeling accuracy without requiring complex real-time processing during the 3D generation phase

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250308169A13D modeling method and electronic device
Publication Date: 2025.10.02 SAMSUNG ELECTRONICS CO LTD
  • US20250308169A1 patent drawing
  • US20250308169A1 patent drawing
  • US20250308169A1 patent drawing

AI summary

A three-dimensional (3D) modeling method may include: receiving an image of a fabric and information associated with the fabric from a user; performing correction on the image of the fabric; and generating 3D images of a plurality of fabric products using the fabric based on the corrected image of the fabric and the received information associated with the fabric.