Rear Camera Image Distortion Correction via Zone Tilting
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Solution Overview
Problem
Conventional methods for correcting image distortion in rear imaging devices, such as those using wide-angle or fish-eye lenses, require manual adjustment of distortion correction coefficients, which is time-consuming and inaccurate, leading to incomplete representation of the rear view for drivers.
Innovation Solution
An apparatus and method that analyze the optical and installation characteristics of the rear imaging device to generate a correction model, dividing the photographed area into multiple zones with specific tilting angles to correct image distortion automatically, thereby minimizing dead zones and expanding the visible area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual correction of distortion correction coefficient is performed, then the driver can adjust the image, but the correction process is time-consuming and inaccurate
Solution Approach 1:
The system performs automatic distortion correction by analyzing image characteristics and computing correction coefficients without driver intervention. The processor automatically detects distortion patterns in the captured image and applies appropriate correction, eliminating the need for manual adjustment while maintaining high accuracy and reducing correction time to near-zero.
Solution Approach 2:
The system dynamically adjusts distortion correction parameters based on the specific characteristics of each captured image. By analyzing image distortion patterns and automatically modifying correction coefficients according to the detected parameters, the system achieves accurate correction for varying distortion conditions without requiring manual re-adjustment for each image.
2Area of stationary object
If a single tilting angle is applied to the entire photographed area, then the correction process is simple, but dead zones remain and the visible area is limited
Solution Approach 1:
The photographed area is divided into multiple distinct regions, each assigned a specific tilting angle for distortion correction. By segmenting the image into zones with different distortion characteristics and applying region-specific correction angles, the system eliminates dead zones and expands the effective visible area while managing complexity through systematic regional division.
Solution Approach 2:
Different tilting angles are applied to different regions of the photographed area based on their specific distortion characteristics. Rather than using a uniform correction approach, the system tailors the correction parameters to local conditions in each region, optimizing the visible area and eliminating dead zones by addressing each area's unique distortion profile.
Data Source
AI summary
An apparatus for correcting image distortion of a rear imaging device including analyzing, by a processor, a characteristic of a imaging device installed in a rear of a vehicle; setting, by the processor, a plurality of tilting angles for a plurality of photographed areas of a virtual imaging device corresponding to the rear imaging device from a characteristic value of the imaging device; generating, by the processor, a correction model by applying the plurality of tilting angles for the plurality of photographed areas of the virtual imaging device; tilting, by the processor, the virtual imaging device based on the correction model; performing, by the processor, a view conversion on an image photographed through the rear imaging device according to the plurality of set tilting angles for the plurality of photographed areas of the virtual imaging device to generate a corrected image; and outputting, by the processor the corrected image.