3D Reconstruction Device Corrects Scale Drift in Industrial Inspection
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Solution Overview
Problem
In industrial endoscope remote visual inspection, it is challenging to accurately determine the correct positions and shapes of defects within subjects using monocular camera images due to scale drift issues in three-dimensional reconstruction, which affects the precision of defect localization.
Innovation Solution
A three-dimensional reconstruction device and method that acquires position-and-orientation information and two-dimensional coordinate information from multiple images, calculates a correction coefficient to match the size of the subject to a known size, and corrects camera positions to restore an accurate three-dimensional shape of the subject.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional reconstruction is performed using monocular camera images, then the shape and position of the subject can be restored, but scale drift occurs causing inaccurate size representation
Solution Approach 1:
The patent applies feedback by comparing the reconstructed three-dimensional size of the subject with its known actual size, calculating a correction coefficient based on the ratio between these sizes, and using this coefficient to correct camera position and orientation parameters. This closed-loop feedback mechanism resolves scale drift and improves measurement precision.
Solution Approach 2:
The patent changes parameters by introducing a correction coefficient that modifies the scale of the reconstructed three-dimensional shape. This coefficient is derived from the ratio of actual size to reconstructed size and is applied to adjust camera parameters, thereby correcting size representation inaccuracies.
2Measurement precision
If the number of feature points is increased to reduce estimation error, then position and orientation estimation improves, but processing complexity increases
Solution Approach 1:
The patent extracts the essential correction information by calculating a single correction coefficient from the size ratio, rather than adjusting multiple parameters independently. This approach reduces processing complexity while maintaining estimation accuracy.
Solution Approach 2:
The correction coefficient serves multiple functions: it corrects size representation, adjusts camera position, and modifies orientation parameters. This multi-functionality reduces the overall processing complexity compared to adjusting separate parameters for each function.
Data Source
AI summary
A three-dimensional reconstruction device includes a processor. The processor is configured to acquire position-and-orientation information and two-dimensional coordinate information. The processor is configured to acquire a three-dimensional size of a subject. The processor is configured to calculate a correction coefficient used for matching the size at the position of a camera to a known size. The processor is configured to correct the position of the camera by using the correction coefficient. The processor is configured to restore a three-dimensional shape of the subject by using the corrected position. the orientation of the camera at the position, and the two-dimensional coordinate information.