Camera Correction Model for Dynamic Aberration Compensation
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Solution Overview
Problem
Existing camera calibration methods are inadequate for quickly and easily correcting aberrations in the image plane when variable camera settings change, leading to imaging errors that require recalibration, especially in industrial image processing where reproducible and accurate measurements are crucial.
Innovation Solution
A method that determines correction parameters for a mathematical correction model by recording feature positions in the image plane for different camera settings, using a calibration plate or object with varying camera distances, and stores these parameters for later use to adapt to changing settings, employing models like the pinhole camera model and radial-tangential models for geometric distortion and vignetting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If camera settings are changed to adapt to different imaging conditions, then the versatility and adaptability of the camera system is improved, but imaging errors and aberrations increase due to component deviations and optical properties
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction parameters for multiple camera settings during the calibration phase. When the camera operates, it retrieves the appropriate correction parameters based on current settings, avoiding the need for recalibration and ensuring consistent imaging accuracy across different configurations.
Solution Approach 2:
The patent utilizes parameter changes by systematically varying camera settings (focal length, aperture, focal distance, illumination wavelength) during calibration to generate comprehensive correction data. This allows the system to adapt to different imaging conditions while maintaining accuracy through pre-computed correction parameters.
2Manufacturing precision
If recalibration is performed to correct imaging errors after component replacement or setting changes, then imaging accuracy is improved, but time loss and productivity decrease due to the recalibration process
Solution Approach 1:
The patent eliminates the need for time-consuming recalibration by pre-calculating correction parameters for multiple camera settings during an initial calibration phase. The system stores these parameters and retrieves them based on current settings, ensuring imaging accuracy without requiring repeated calibration procedures.
Solution Approach 2:
The patent implements a dynamic correction parameter selection mechanism that automatically adapts to different camera settings. The system maintains a library of correction parameters for various configurations and selects the appropriate parameters based on current focal length, aperture, focal distance, and illumination wavelength, enabling rapid adaptation without recalibration.
3Reliability
If multiple correction parameters are stored for different camera settings to maintain imaging accuracy, then the reliability and consistency of measurement results are improved, but device complexity increases due to the correction model storage and management system
Solution Approach 1:
The patent applies universality by creating a comprehensive correction model that handles multiple types of aberrations (geometric distortion, chromatic aberration, vignetting) and applies to various camera settings through a unified framework. This single multi-functional system manages diverse correction parameters efficiently, reducing overall system complexity.
Solution Approach 2:
The patent uses copying by storing correction parameters as digital data representations of optical correction data. Instead of implementing complex physical correction mechanisms for each setting, the system creates and stores computational models that can be retrieved and applied software-based corrections, significantly reducing hardware and system complexity.
Data Source
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AI summary
In order to correct image errors in the image plane of a camera as quickly and easily as possible when selected variable camera settings influencing the image errors are changed, it is provided that a plurality (i) of features (Mi) with different known feature positions (PMi(X, Y, Z)) in space are provided, that for each of the selected variable camera settings influencing the image error at least two defined setting specifications for changing the respective camera setting are specified, that for each of the at least two specified setting specifications the plurality (i) of features (Mi) are recorded by the camera (2), that from the recorded features (Mi) in the image plane (4) the image positions PBi(X,Y) of the features (Mi) are determined by the camera (2).that a relationship between the different known feature positions (PMi(X, Y, Z)) in space and the corresponding image positions PBi(X,Y) in the image plane (4) of the camera (2) is determined by means of at least one known mathematical procedure, that correction parameters of at least one given mathematical correction model are determined for each of the at least two given setting specifications of the selected variable camera settings to correct at least one imaging error, and that the at least one correction model with the determined correction parameters is stored in the camera (2).