Multi-Camera Autofocus Synchronization via Key-Point Matching
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Solution Overview
Problem
Existing image processing technologies face challenges in generating high-quality fused images from multiple cameras with different viewpoints, as they often struggle to focus on the same region of interest, leading to difficulties in aligning and blending images effectively.
Innovation Solution
A method and apparatus that perform autofocus operations on multiple cameras by determining a second region of interest based on the first region of interest using key-point matching algorithms, allowing the cameras to focus on the same object and generate a high-quality fused image despite physical distance between them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are positioned at different locations to capture images from different viewpoints, then the field of view and coverage are improved, but the ability to focus on the same region of interest deteriorates
Solution Approach 1:
The system performs preliminary autofocus operations on each camera to determine their respective regions of interest before image fusion. This preliminary focusing action allows each camera to independently optimize its focus on the detected region, and subsequent fusion algorithms can then align these pre-focused images to achieve both wide coverage and precise focus alignment
Solution Approach 2:
The patent introduces an image fusion algorithm as an intermediary process that receives images from multiple cameras with different viewpoints and focus settings. This fusion algorithm acts as a mediator that combines the wide field of view benefits of multiple cameras while correcting focus mismatches through computational processing, thereby resolving the contradiction between coverage area and focus alignment
2Measurement precision
If autofocus operations are performed independently on each camera, then each camera can optimize focus on its detected region, but synchronization and alignment between cameras deteriorates
Solution Approach 1:
The system employs feedback mechanisms where the results of autofocus operations on one camera inform the autofocus process of other cameras. The image fusion algorithm provides feedback about alignment quality, and this information is used to adjust and resync the focus settings across cameras, creating a closed-loop system that maintains both individual optimization and collective synchronization
Solution Approach 2:
The patent merges the autofocus operations of multiple cameras into a coordinated process. Instead of completely independent autofocus, the system combines the region of interest detection from multiple cameras and uses this combined information to guide synchronized focusing, thereby achieving both individual optimization and collective alignment through merged processing
3Adaptability or versatility
If cameras are placed at different positions to capture different regions, then coverage and perspective diversity are improved, but the quality of fused image deteriorates due to focus mismatches
Solution Approach 1:
The system dynamically changes focus parameters during the image capture and fusion process. Based on the detected region of interest and the specific viewpoint of each camera, the autofocus operation adjusts focus parameters individually for each camera. The fusion algorithm then further adjusts parameters to compensate for viewpoint differences, thereby maintaining high fused image quality across diverse scene coverage
Solution Approach 2:
The patent segments the image processing into distinct stages: individual camera autofocus on segmented regions of interest, followed by fusion of these segmented images. This segmentation allows each camera to independently optimize its segment while the fusion process integrates them with proper alignment, resolving the contradiction between coverage versatility and fusion quality
Data Source
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AI summary
A method of performing an image autofocus operation using multiple cameras includes performing, at an image processor, a first autofocus operation on a first region of interest in a scene captured by a first camera and determining a second region of interest in the scene captured by a second camera. The second region of interest is determined based on the first region of interest. The method further includes performing a second autofocus operation on the second region of interest. The method also includes fusing a first image of the scene captured by the first camera with a second image of the scene captured by the second camera to generate a fused image. The first image is based on the first autofocus operation and the second image is based on the second autofocus operation.