Line Stripe Mismatch Detection in Structured Light 3D Reconstruction
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Solution Overview
Problem
In structured light binocular reconstruction systems, the inability to detect line stripe mismatches between adjacent cycles leads to incorrect three-dimensional reconstruction results.
Innovation Solution
A method and device for line stripe mismatch detection, which involves acquiring images of line stripes from multiple cameras, matching adjacent line stripes to calculate test distances, and determining mismatch based on these distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only the number of each line stripe in the cycle is obtained without cycle number information, then the system complexity is reduced, but line stripe mismatch occurs between adjacent cycles causing incorrect three-dimensional reconstruction
Solution Approach 1:
The patent implements a feedback mechanism by calculating the distance between corresponding line stripes in adjacent cycles and comparing it with the preset distance to determine whether a mismatch has occurred. This feedback loop enables the system to detect and correct potential matching errors without increasing overall system complexity
Solution Approach 2:
The patent applies preliminary action by presetting the distance between corresponding line stripes in adjacent cycles before the actual three-dimensional reconstruction process. This pre-established reference distance enables rapid mismatch detection during processing without requiring complex real-time calculations
2Productivity
If line stripe mismatch detection is not implemented, then the processing speed is maintained, but wrong three-dimensional reconstruction results are produced
Solution Approach 1:
The patent replaces complex mechanical verification methods with a computational approach, using distance calculation and comparison algorithms to detect line stripe mismatches. This substitution maintains high processing speed while ensuring reconstruction accuracy through efficient mathematical operations
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
Effectively detects line stripe mismatches, thereby ensuring accurate three-dimensional reconstruction by preventing errors caused by misalignment of line stripes in adjacent cycles.
Implementation Method 1
a projector (or laser generator) projects a designed pattern onto the surface of an object surface
Implementation Method 2
binocular cameras in the binocular reconstruction system simultaneously collect pictures of the object
Implementation Method 3
a depth value of the point is calculated according to a parallax between the corresponding points in the two pictures
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The present invention discloses a line stripe mismatch detection and three-dimensional reconstruction method and device. The method includes: acquiring a first image of line stripes collected by a first camera and a second image of line stripes collected by a second camera, where the first image at least includes: a first line stripe and a second line stripe; the second image at least includes: a third line stripe and a fourth line stripe, the first line stripe is adjacent to the second line stripe, and the third line stripe is adjacent to the fourth line stripe; matching the first line stripe with the third line stripe, determining a first test distance between the first line stripe and the third line stripe, matching the second line stripe with the fourth line stripe, and determining a second test distance between the second line stripe and the fourth line stripe; and determining whether the line stripes are mismatched according to the first test distance and the second test distance. The present invention solves the technical problem of incapability of detecting whether the line stripes are mismatched.