Stereo Camera OIS Actuator Calibration for Noise Reduction
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Solution Overview
Problem
Conventional stereo camera systems suffer from misalignment between sensors, leading to streaking noise in depth images, which decreases image recognition rates.
Innovation Solution
An apparatus and method utilizing an Optical Image Stabilizer (OIS) to calibrate the second image relative to the first image by calculating and adjusting pixel differences, minimizing misalignment and thereby reducing streaking noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If an OIS actuator is applied to correct misalignment between sensor units, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
An OIS actuator is introduced as an intermediary component between the two sensor units to correct misalignment. The actuator receives driving signals from the controller and physically adjusts the position of one sensor unit relative to the other, serving as a mediator that eliminates streaking noise without requiring complex mechanical redesign of the entire stereo camera system
Solution Approach 2:
The system implements a feedback mechanism where the controller continuously calculates pixel differences between images from the two sensor units, determines the required calibration amount, and generates driving signals to adjust the OIS actuator. This closed-loop feedback ensures precise alignment correction while maintaining system adaptability to varying misalignment conditions
2Measurement precision
If pixel difference calculation and OIS calibration are performed, then image recognition rate is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calibration by calculating reference pixel differences and storing them in advance. When actual imaging occurs, the controller compares current pixel differences against pre-stored reference values to quickly determine calibration requirements, reducing real-time processing time while maintaining alignment precision
Solution Approach 2:
The system applies partial calibration by calculating pixel differences only based on predetermined reference points rather than analyzing every pixel in the image. This selective approach achieves sufficient alignment correction without the computational burden of full-image processing, balancing recognition rate improvement with time efficiency
Data Source
AI summary
Apparatus and method for eliminating noise in stereo image are disclosed, the method according to an exemplary embodiment of the present invention comprising, obtaining a first image captured by a first sensor unit and a second imaged captured by a second sensor unit; calculating a pixel difference of the second image relative to a first image based on a predetermined reference point; determining a pixel amount of the second image to be calibrated using a reference pixel difference and the pixel difference; and generating a driving signal for driving an Optical Image Stabilizer (OIS) actuator using the pixel amount to be calibrated.