Automated Calibration Object Detection for Image Parameter Correction
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Solution Overview
Problem
Visual productions face challenges in achieving uniform image capture due to variations in image parameters across different cameras, requiring manual adjustments that can be imprecise and time-consuming.
Innovation Solution
An automated system detects a calibration object within recorded images to modify image parameters, identifying regions, analyzing patches, and predicting additional patch locations to correct image parameters such as brightness and exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of cameras or equipment is performed by artists or managers, then image parameter correction can be performed, but the process is imprecise and causes delays in visual production
Solution Approach 1:
The system enables automatic self-correction of image parameters by detecting calibration objects in captured images and autonomously adjusting camera settings. The camera system performs its own calibration without requiring external manual intervention, thereby eliminating both the imprecision and time loss associated with manual adjustment by artists or managers.
2Reliability
If manual adjustment of cameras is performed to correct image parameter variances, then some correction can be achieved, but the adjustments are imprecise
Solution Approach 1:
The patent replaces the manual mechanical adjustment process with an automated computational system. The system uses image processing algorithms to detect calibration objects, analyze color patches, and automatically calculate the precise adjustments needed for camera parameters such as white balance, exposure, and color correction, thereby eliminating the imprecision inherent in manual adjustments.
3Productivity
If automated detection of calibration objects is implemented, then image parameter correction becomes more accurate and uniform, but system complexity increases
Solution Approach 1:
The patent integrates multiple functions into a single automated calibration system that can detect calibration objects, identify color patches, analyze image parameters, and adjust camera settings all through one unified process. This multi-functional approach achieves uniform image capture across different cameras while managing system complexity through consolidation rather than separate independent systems.
Data Source
AI summary
Embodiments provide for automated detection of a calibration object within a recorded image. In some embodiments, a system receives an original image from a camera, wherein the original image includes at least a portion of a calibration chart. The system further derives a working image from the original image. The system further determines regions in the working image, wherein each region comprises a group of pixels having values within a predetermined criterion. The system further analyzes two or more of the regions to identify a candidate calibration chart in the working image. The system further identifies at least one region within the candidate calibration chart as a patch. The system further predicts a location of one or more additional patches based on at least the identified patch.