Multi-Camera Image Correction via Automated Parameter Adjustment
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Solution Overview
Problem
In remote conference systems, multi-camera image correction for non-overlapping or small overlap areas is inefficient and requires manual adjustments, leading to precision and maintenance challenges.
Innovation Solution
A method and device for multi-camera image correction that acquires image correction parameters through offline and online processing, allowing for geometric and color correction of images without manual camera adjustments, using image data collection and correction techniques to ensure precision and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of camera positions and parameters is performed, then geometric correction and color correction can be achieved, but maintenance efficiency is low and precision is difficult to ensure
Solution Approach 1:
The patent replaces manual mechanical adjustment of camera positions and parameters with an automated image processing system. The system captures images from multiple cameras, performs automated geometric correction through coordinate transformation and拼接 algorithms, and executes color correction through automated parameter adjustment, eliminating the need for manual mechanical intervention while improving both precision and efficiency
Solution Approach 2:
The system enables self-service correction by automatically analyzing the captured images, calculating correction parameters, and applying corrections without external manual intervention. The automated processing includes detecting feature points, computing transformation matrices, and adjusting camera parameters based on algorithmic analysis rather than human operation
2Extent of automation
If overlap area between cameras is increased to enable automated correction, then correction precision improves, but camera layout flexibility is reduced
Solution Approach 1:
The system performs preliminary action by pre-calculating correction parameters based on captured images before actual image拼接 is required. The automated system prepares transformation matrices and correction algorithms in advance, enabling correction to work with various camera layouts without requiring pre-configured overlap areas, thus maintaining both automation and flexibility
3Area of stationary object
If multiple cameras are arranged to cover complete conference room scene, then scene coverage is improved, but image alignment and consistency become more difficult
Solution Approach 1:
The patent applies segmentation by dividing the complete conference room scene into multiple independent image segments captured by different cameras. Each camera captures a specific portion of the scene, and the system then automatically拼接s these segments using coordinate transformation algorithms, converting a complex full-scene alignment problem into manageable segment-level operations
Solution Approach 2:
The system introduces an intermediary coordinate transformation system that mediates between images from different cameras. The transformation algorithms act as intermediaries to reconcile differences in perspective, position, and orientation between multiple cameras, automatically aligning them into a consistent unified view without requiring direct manual coordination between cameras
Data Source
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AI summary
Embodiments of the present invention provide a method and a device for multi-camera image correction. The method for multi-camera image correction includes: acquiring information of independent images that are captured by each camera and have no overlap area or have an overlap area smaller than a threshold; acquiring, according to information of each independent image, an image correction parameter that corresponds to each camera and allows adjacent independent images to be corrected into a contiguous image; and performing, according to the image correction parameter, correction processing on video data of a camera that corresponds to the image correction parameter. In the embodiments of the present invention, maintenance manpower is saved, adjustment efficiency is improved, and remote maintenance may be performed in the case of no overlap area or of a small overlap area. In addition, images are corrected in a data processing manner, which efficiently ensures precision of image correction.