Optical Center Calibration via Iterative Ray Extraction
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Solution Overview
Problem
Image capture devices face misalignment issues between the optical center of the lens and the image sensor due to manufacturing variances, temperature changes, and material aging, leading to reduced accuracy and efficiency in signal processing, such as image or video stabilization.
Innovation Solution
An optical center calibration method that iteratively improves alignment by extracting rays from input images, estimating contours, and determining a calibration circle using image processing techniques, allowing for automatic adjustment of the lens alignment with respect to the image sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical center calibration is performed to improve alignment accuracy, then measurement precision and signal processing quality improve, but device complexity and processing time increase due to iterative image analysis
Solution Approach 1:
The calibration process is segmented into distinct operational phases: initial parameter obtaining, input image capture, calibration circle determination through ray extraction and contour estimation, and iterative improvement cycles. This segmentation allows the complex calibration task to be managed through modular, sequential processing steps, reducing overall system complexity while maintaining precision.
Solution Approach 2:
The system performs preliminary actions by obtaining initial calibration parameters and capturing input images before executing the main calibration determination. Ray extraction and contour estimation are performed as preliminary steps to establish the calibration circle, enabling the iterative improvement process to start from a prepared state rather than raw data.
2Measurement precision
If iterative calibration is performed to improve alignment precision, then optical center accuracy improves, but processing time increases due to repeated calibration cycles
Solution Approach 1:
The calibration process implements periodic action through iterative improvement cycles where the calibration is repeatedly performed on the input image and previous iteration results. Each iteration refines the optical center alignment by re-extracting rays and re-estimating contours, systematically improving precision through periodic refinement rather than single-pass processing.
Solution Approach 2:
The iterative calibration mechanism incorporates feedback by using previous iteration results to inform subsequent calibration cycles. The system continuously refines the calibration circle determination by feeding back the improved alignment parameters into the next iteration's ray extraction and contour estimation processes, ensuring progressive accuracy improvement.
Data Source
AI summary
Optical center calibration may include obtaining one or more parameters for optical center calibration, obtaining an input image captured by an image capture device using a lens, and determining a calibration circle using the parameters and the input image. Determining the calibration circle may include extracting rays using the input image, estimating contours using the input image and the rays, and estimating the calibration circle using the input image and the contours. The calibration may be iteratively improved by repeating calibration based on the input image and a previous iteration of optical center calibration.