Virtual Camera Views for Wide-Angle Image Processing
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Solution Overview
Problem
Wide-angle cameras, such as fisheye cameras, suffer from image distortion and limited compatibility with existing computer vision algorithms, requiring multiple cameras for large area coverage and leading to information loss during image processing.
Innovation Solution
A system and method that processes wide-angle images by dividing them into multiple virtual camera views, generating virtual images with suitable parameters for existing models, allowing single-camera coverage of large areas without distortion and data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image processing methods are used on entire images, then processing can be performed uniformly, but processing time increases and real-time performance deteriorates
Solution Approach 1:
The image processing is divided into two distinct segments: a first image processing applied to a first region of the image, and a second image processing applied to a second region. This segmentation allows different processing strategies to be applied to different parts of the image, optimizing both speed and quality where needed.
Solution Approach 2:
Different image processing methods are applied to different regions based on their specific requirements. The first region receives a first type of image processing while the second region receives a second type, allowing local optimization of processing quality and speed according to the importance and characteristics of each region.
2Measurement precision
If high-resolution processing is applied to entire images, then image quality improves, but computational complexity and processing time increase
Solution Approach 1:
The image is segmented into multiple regions with different processing requirements. High-quality processing is applied only to the first region where it is most needed, while the second region receives different processing, reducing overall computational complexity while maintaining necessary quality.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image. The first region receives a first type of image processing optimized for quality, while the second region receives a second type of processing optimized for other criteria, achieving local quality optimization without全局 complexity.
3Productivity
If uniform image processing is applied to all regions, then processing simplicity is maintained, but processing efficiency and adaptability decrease
Solution Approach 1:
The processing system is segmented into multiple processing paths that can be independently optimized. The processor is configured to perform a first image processing on a first region and a second image processing on a second region, enabling efficient processing through specialized pathways.
Solution Approach 2:
The image processing system dynamically adapts its processing strategy based on the region being processed. The processor selectively applies different processing methods to different regions, making the system dynamic and adaptive rather than static and uniform, thereby improving efficiency.
Data Source
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AI summary
Disclosed is a system (100) for processing images related to a target region. The system comprises a memory (102) and a computing arrangement (104) in communication with the memory. The computing arrangement is configured to define one or more target buffers (106) in the memory of a size corresponding to one or more image parameters to be used as an input to a model implemented for the processing the images. The computing arrangement is further configured to receive at least one image (300, 400A, 400B, 400C, 400D) of the target region from a wide-angle camera (108, 202), define two or more virtual camera views (302, 304, 306, 412, 416, 418, 420, 422) and process the at least one image to generate two or more virtual images (308, 310, 312, 400E) based on the defined one or more target buffers and the defined two or more virtual camera views. The computing arrangement is further configured to implement the said model to analyse the generated two or more virtual images.