3D Surface Modeling Using Structured Light Diffraction Patterns
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Solution Overview
Problem
Current photogrammetry and stereophotogrammetry methods face challenges in accurately modeling three-dimensional objects in real-time or near real-time, requiring improved spatial resolution and processing efficiency for dense three-dimensional data.
Innovation Solution
A method and system utilizing a structural light source to produce a diffraction pattern of known geometry, with calibrated cameras capturing images simultaneously, allowing for the determination of primary and secondary points to calculate accurate X, Y, and Z coordinates, and enhancing spatial resolution through partial image processing and normalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional photogrammetry methods are used to model three-dimensional objects, then the modeling process can be completed, but the spatial resolution and processing speed are insufficient for real-time or near real-time applications
Solution Approach 1:
The patent divides the image processing into segments by identifying primary points from the diffraction pattern and using them as initial points for searching secondary points. This segmentation allows parallel processing of different regions, improving both spatial resolution through dense point cloud generation and processing speed by reducing the search space for each point
Solution Approach 2:
The patent performs preliminary action by first identifying primary points from the known diffraction pattern geometry before searching for secondary points. This preliminary identification of key reference points enables faster and more accurate subsequent processing, achieving real-time or near real-time performance while maintaining high spatial resolution
2Reliability
If traditional stereophotogrammetry methods are used with multiple cameras, then three-dimensional modeling can be achieved, but the processing complexity and time consumption increase
Solution Approach 1:
The patent introduces an intermediary element - the known diffraction pattern - that serves as a reference between the multiple camera views. This intermediary provides a common geometric framework that simplifies the matching process between cameras, reducing processing complexity while maintaining high modeling accuracy through the use of primary and secondary point identification
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
This approach significantly increases spatial resolution and processing speed, enabling real-time or near real-time accurate three-dimensional modeling with denser point cloud data, separating primary and secondary points for high-quality applications.
Implementation Method 1
controlling a structural light source of a modelling arrangement to produce a diffraction pattern of a known geometry on a surface to be modeled
Data Source
AI summary
According to an aspect, there is provided a method comprising controlling a structural light source of a modelling arrangement to produce a diffraction pattern of a known geometry on a surface to be modeled, the diffraction pattern accurately complying with a mathematical-physical model and wherein beam output angles of the diffraction pattern are accurately known based on the mathematical-physical model; recording a first image of the surface comprising the diffraction pattern with a first camera and a second image of the surface comprising the diffraction pattern with a second camera substantially simultaneously; determining a point cloud comprising primary points from the diffraction pattern visible in the first image; identifying the corresponding primary points from the second image; and using each primary point of the point cloud in the first and second images as an initial point for search spaces for secondary points in the first and second images.