Stereo Camera Calibration via Event-Triggered Recalibration
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Solution Overview
Problem
Stereo cameras face challenges in maintaining accurate calibration due to external physical shocks, temperature changes, and age-related deterioration, leading to difficulties in composing images effectively.
Innovation Solution
An electronic device with a processor that calculates and updates calibration parameters based on image data collected after specific events, such as physical shocks or temperature changes, to adjust and compose images using a second calibration parameter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration parameters are set in advance during manufacturing, then initial calibration accuracy is achieved, but calibration accuracy deteriorates when lenses or image sensors are distorted due to external physical shock, temperature changes, or age deterioration
Solution Approach 1:
The system performs preliminary calibration during manufacturing to establish initial calibration parameters, then proactively detects distortion events (physical shock, temperature changes) and automatically recalibrates by capturing images and computing new parameters, preventing degradation of calibration accuracy over time
Solution Approach 2:
The system continuously monitors for distortion events through sensors detecting physical shock or temperature changes, and uses this feedback to trigger automatic recalibration processes, ensuring calibration parameters remain accurate despite environmental variations and aging
2Measurement precision
If manual recalibration is performed after distortion events, then calibration accuracy can be restored, but device complexity and user operation difficulty increase
Solution Approach 1:
The system automatically performs recalibration by itself when distortion events are detected, capturing images with both cameras, computing new calibration parameters, and updating stored parameters without requiring user intervention, making the device self-maintaining
Solution Approach 2:
The system dynamically changes calibration parameters from static pre-set values to adaptive values computed in real-time based on detected distortion events, allowing the calibration parameters to adjust automatically to environmental conditions and aging effects
3Reliability
If frequent recalibration is performed to maintain accuracy, then calibration stability improves, but loss of time and processing overhead increase
Solution Approach 1:
The system performs calibration computations during idle periods or when the device is not actively capturing images, preparing calibration parameters in advance before they are needed, thus minimizing impact on operational time
Solution Approach 2:
The system performs recalibration periodically based on detected distortion events rather than continuously, capturing images and computing parameters only when necessary (upon detecting physical shock, temperature changes, or age-related deterioration), reducing unnecessary processing time
Data Source
AI summary
An electronic device includes a first camera that obtains a first image, a second camera that obtains a second image having a disparity with the first image, a memory that stores a first calibration parameter, and a processor that calibrates at least one of the first image and the second image by using the first calibration parameter and composes the first image and the second image. The processor is configured to collect, if a specified event occurs, images obtained from the first camera and the second camera after the specified event occurs and store the collected images in the memory, to compute a second to calibration parameter based on the images obtained after the specified event occurs, if a specified condition is satisfied, and to update the first calibration parameter with the second calibration parameter.