3D Surface Modeling with Iterative Opacity and Texture Refinement

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Solution Overview

Problem

Existing methods for creating three-dimensional digital models of complex-shaped objects often result in defects due to imperfect determination of triangle opacity, requiring extensive human intervention.

Innovation Solution

A method involving tetrahedrisation to construct a grid on a point cloud, projecting triangles onto images, and iteratively determining opacity and texture parameters using multiple viewpoints to enhance accuracy and reduce defects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If region growth algorithm is used to determine triangle opacity, then triangle opacity can be determined, but the accuracy is imperfect and requires long and fastidious human intervention

Engineering Contradiction:
Improvetriangle opacity determination accuracyVSAvoidhuman intervention time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements an iterative optimization process where the opacity and texture parameters of triangles are adjusted based on feedback from comparing the three-dimensional model blank with actual images. The consistency between the model and images is evaluated, and parameters are refined in successive iterations until expected consistency is achieved, eliminating the need for manual intervention.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system automatically determines triangle opacity and texture parameters by projecting the grid onto images and iteratively optimizing parameters to match image data. The process self-corrects and converges on accurate parameters without requiring external human intervention, making the system self-sufficient.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If multiple images from plurality of viewpoints are used to determine opacity and texture parameters, then model accuracy is improved, but computational resources and processing time increase

Engineering Contradiction:
Improvemodel accuracyVSAvoidcomputational resources
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent uses multiple images from plurality of viewpoints to determine opacity and texture parameters, which is more than the minimum required. This excessive sampling from multiple angles provides redundant information that improves accuracy through iterative optimization, ensuring robust parameter determination even though it increases computational load.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The iterative optimization process continuously refines opacity and texture parameters by repeatedly comparing the model blank with images from multiple viewpoints. This continuous adjustment ensures that the model converges on accurate parameters, making the increased computational resources worthwhile for achieving high accuracy.

Inventive Principle:
Principle #20Continuity of useful action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The method improves the accuracy of three-dimensional models by using multiple images to determine triangle opacity and texture, reducing computational resources and human intervention, resulting in a more precise digital representation.

Implementation Method 1

The positions of the points are, for example, determined by using a digitising method by projecting a laser beam or by projecting structured light, or by a photogrammetry method.

Methodology Applied
Scientific EffectPhotogrammetry: Photogrammetry

Data Source

PatentUS20260024281A1Method for digital modeling of a three-dimensional surface of an object
Publication Date: 2026.01.22 TECHNODIGIT
  • US20260024281A1 patent drawing
  • US20260024281A1 patent drawing
  • US20260024281A1 patent drawing

AI summary

Method for digitally digitising a three-dimensional surface, comprising the steps of: determining coordinates of points on the three-dimensional surface to obtain a point cloud and capturing images of the three-dimensional surface; constructing by tetrahedrisation a grid of triangles on the point cloud, projecting the grid onto the images and simultaneously determining an opacity parameter and a texture parameter of the triangles by coinciding at least some of the images and the grid, in order to obtain a three-dimensional model blank, comparing the three-dimensional model blank to the images and verifying consistency between the three-dimensional model blank and the images, returning to determining the opacity and texture parameters of the triangles if the consistency is less than an expected consistency, extracting the surface from the model blank to form the three-dimensional model, otherwise.