Dual-Region Camera Recognition for Distortion and Processing Load
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Solution Overview
Problem
Existing image processing systems for vehicles face challenges in balancing high-resolution display for rear-view mirrors and wide-range surveillance using a small number of cameras, leading to increased processing load and potential degradation of recognition accuracy due to distortion correction.
Innovation Solution
An image processing system with multiple cameras, each equipped with optical systems that capture high-resolution regions with low distortion and wide-angle regions with high distortion, performs image recognition separately on these regions before integrating the results to provide accurate and efficient image display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion correction is performed on images captured by fisheye lenses to improve recognition accuracy, then recognition accuracy in periphery portions is improved, but processing load increases and processing time becomes longer
Solution Approach 1:
The patent divides the image processing into two distinct paths: one for the center region (processed with distortion correction) and one for the periphery region (processed without distortion correction). This segmentation allows the system to apply computational resources selectively, maintaining high recognition accuracy in the center while preserving processing speed in the periphery, thus resolving the contradiction between accuracy and processing speed.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image: high-quality distortion-corrected processing for the center region and lower-quality but faster processing for the periphery region. This local differentiation optimizes the balance between recognition accuracy and processing speed by matching processing intensity to the actual needs of each region.
2Reliability
If multiple cameras are mounted to achieve both high-resolution rear-view mirror function and wide-range surveillance, then imaging quality is improved, but device complexity increases
Solution Approach 1:
The patent makes a single camera unit perform multiple functions by equipping it with both a fisheye lens for wide-angle surveillance and a normal lens for high-resolution imaging. This multi-functionality allows the system to achieve both wide-range coverage and high-resolution detail without requiring separate camera systems, thereby reducing overall device complexity while maintaining imaging quality.
Solution Approach 2:
The patent combines the functions of what would traditionally require separate cameras (wide-angle surveillance and high-resolution imaging) into a single integrated camera unit with multiple lenses. This merging reduces the number of separate components needed in the system, simplifying the overall device architecture while maintaining the ability to perform both functions with high quality.
3Measurement precision
If distortion correction is performed on multiple images from multiple cameras, then comprehensive recognition accuracy is improved, but processing load becomes excessively large
Solution Approach 1:
The patent segments the image processing task by region (center vs. periphery) and by camera, applying distortion correction only where necessary for accurate recognition. This selective approach significantly reduces the total processing load compared to correcting all images from all cameras, while still maintaining comprehensive recognition accuracy for critical regions.
Solution Approach 2:
The patent applies distortion correction partially rather than universally - only to the center region of images where it is most needed for accurate recognition. This partial action approach avoids the excessive processing load that would result from applying full distortion correction to all regions of all images, while still achieving sufficient recognition accuracy for the most important areas.
Data Source
AI summary
An image processing system includes: an image acquisition unit configured to acquire image data generated by an imaging device that captures an optical image having a low-distortion region and a high-distortion region; a first image recognition unit configured to perform image recognition on image data of at least a partial region in the image data acquired by the image acquisition unit to output a first image recognition result; a second image recognition unit configured to perform image recognition on image data of a region wider than the partial region in the image data acquired by the image acquisition unit to output a second image recognition result; and an integration processing unit configured to output an image recognition result integrated on the basis of the first image recognition result and the second image recognition result.