Stereo Imaging Lens Distortion Correction via Region Extraction
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Solution Overview
Problem
In-vehicle and surveillance cameras face challenges in detecting objects with high precision while capturing a wide range due to image distortion and the large number of pixels required, leading to increased processing time and potential delays in real-time responses.
Innovation Solution
A stereo imaging device is designed with a lens that has a low distortion region and a high distortion region, featuring a cutout unit that extracts a cutout image from the low distortion region for detection, and a detection unit that processes this image to achieve high precision detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide-angle lens is used to capture a wide range, then the coverage area is improved, but image distortion in the peripheral portion increases
Solution Approach 1:
The imaging device divides the image into multiple regions based on distortion characteristics. The central region with low distortion is used for high-precision detection tasks, while the peripheral regions with high distortion are used for expanding coverage. This segmentation allows the system to simultaneously achieve wide coverage and high detection precision by assigning different regions to different functions.
2Measurement precision
If a high resolution imaging sensor is used to improve detection precision, then the number of pixels increases, but the arithmetic processing time becomes excessively long
Solution Approach 1:
The system extracts only the necessary central region with low distortion from the full high-resolution image for detection processing. By taking out this specific region of interest rather than processing the entire high-resolution image, the system maintains detection precision while significantly reducing the arithmetic processing time and computational load.
3Measurement precision
If the entire high resolution image is processed for detection, then detection precision is maintained, but the processing speed decreases and real-time response becomes difficult
Solution Approach 1:
The system applies different processing strategies to different regions of the image. The central region with low distortion is processed at high resolution for accurate detection, while the peripheral regions are either processed at lower resolution or used primarily for coverage expansion. This local quality approach ensures high detection precision where needed while maintaining overall processing speed.
Data Source
AI summary
A stereo imaging device is capable of detecting a target with a high precision, while photographing a wide range. The stereo imaging device has an imaging unit 5 including a lens and an imaging sensor. The lens has a low distortion region and a high distortion region, the low distortion region being a portion having a distortion smaller than a predetermined amount, the high distortion region being a portion having a distortion larger than the low distortion region. A cutout unit outputs an image from which a range including a detection target has been cut out from an area photographed through the low distortion region, such output being performed for image photographed by a pair of imaging units when a detection target is present within an area photographed through the low distortion region. A detection unit detects a detection target based on the cutout image.