Multi-View Camera Exposure Uniformity via Iterative Brightness Adjustment
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Solution Overview
Problem
Multi-view cameras struggle to produce high-quality stitched images due to non-uniform exposure brightness across cameras, leading to exposure abnormalities like overexposure or underexposure, especially in overlapping regions.
Innovation Solution
A system and method that iteratively determine and adjust exposure parameters for each camera in a multi-view camera setup by calculating a reference exposure brightness and adjusting exposure parameters based on differences between camera images, ensuring uniform exposure across overlapping regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to generate wide-range stitched images, then the field of view is improved, but exposure brightness uniformity deteriorates
Solution Approach 1:
The patent applies parameter changes by iteratively adjusting exposure parameters (exposure time, gain value, aperture) for each camera based on calculated exposure brightness differences. The system calculates a reference exposure brightness from multiple cameras, compares each camera's exposure brightness to the reference, and adjusts parameters until the difference is within a predetermined range, achieving uniform exposure across the stitched image while maintaining the multi-camera wide-field configuration
Solution Approach 2:
The patent implements feedback control by continuously monitoring exposure brightness differences between cameras and adjusting exposure parameters accordingly. The iterative process calculates exposure brightness for each camera, compares it to the reference value, and feeds back adjustment instructions to cameras with non-uniform exposure until convergence is achieved, ensuring uniformity across the multi-camera system
2Illumination intensity
If exposure parameters are adjusted for each camera, then exposure brightness uniformity is improved, but system complexity increases
Solution Approach 1:
The patent applies universality by using a single centralized processing device to perform multiple functions: calculating reference exposure brightness, determining exposure brightness for each camera, calculating differences, determining adjustment amounts, and generating control signals. This multi-functional approach manages the complexity of coordinating multiple cameras through one unified control system rather than requiring independent control mechanisms for each camera
Solution Approach 2:
The system applies self-service by having each camera automatically adjust its own exposure parameters based on control signals from the processing device. The iterative process allows cameras to self-correct their exposure settings based on calculated differences from the reference brightness, reducing the need for manual intervention and simplifying the overall control architecture
Data Source
AI summary
The present disclosure relates to a method for determine exposure parameters of each camera in a multi-view camera. The method may initiate an iteration process including iteration(s). Each current iteration may include: determining a reference exposure brightness; determining whether a first difference between the reference exposure brightness and a predetermined exposure brightness is within a first difference-range; if the first difference is not within the first difference-range, updating a first exposure brightness of each camera by adjusting first exposure parameters of the camera, and re-initiating a current iteration; if the first difference is within the first difference-range, designating the first exposure parameters of each camera as the current exposure parameters of the camera.