Multi-Camera Imaging System Self-Calibration for Angle of View
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Solution Overview
Problem
Existing imaging systems face challenges in accurately determining the angle of view when using multiple cameras with different focal lengths, particularly when they need to cooperate for comprehensive surveillance, as they require detailed optical information from both cameras, including the angle of view of the wide-angle camera, which is often unknown.
Innovation Solution
The imaging system performs a registration process between the telephoto camera and wide-angle camera images at multiple locations, including the center and end parts of their angles of view, using image analysis and auto-focus functions to derive the angle of view of the wide-angle camera, even when its optical information is unknown, by calculating revolution angles and subject distances based on threshold values and deviation amounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras with different focal lengths are used for comprehensive surveillance, then surveillance capabilities are improved, but the complexity of determining angle of view increases
Solution Approach 1:
The system performs self-calibration by automatically determining the angle of view of the wide-angle camera through image registration and feature point analysis, eliminating the need for manual optical information input or external calibration tools. The camera system serves itself to acquire the necessary angular parameters for coordinated operation.
Solution Approach 2:
The system changes the parameter determination approach from requiring pre-known optical specifications to dynamically calculating angular parameters through image processing. By analyzing feature point correspondences between telephoto and wide-angle images, the system derives the angle of view as a calculated parameter rather than a manufacturer-specified value.
2Measurement precision
If optical information of wide-angle camera is required for accurate angle of view determination, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The wide-angle camera's optical parameters are automatically determined through the system's self-calibration routine, eliminating the need for operators to manually input or measure optical specifications. The system acquires and processes its own calibration data through image registration and feature point analysis.
Solution Approach 2:
The system replaces manual optical measurement and input processes with automated image processing and computational geometry. Instead of physically measuring or specifying optical parameters, the system calculates the angle of view through mathematical analysis of corresponding feature points in multi-camera images.
3Measurement precision
If registration is performed at multiple locations including end parts of angle of view, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The angle of view determination process is segmented into multiple measurement locations including the center and end parts of the field of view. By dividing the calibration process into discrete sampling points, the system achieves comprehensive angular coverage and higher precision while maintaining structured efficiency in the registration workflow.
Solution Approach 2:
The system performs preliminary image capture and feature point detection at multiple predetermined locations before executing the final angle of view calculation. This pre-positioning of measurement points and advance capture of calibration images streamlines the overall process, reducing iterative adjustments and minimizing total calibration time.
Data Source
AI summary
An imaging system includes a processor, a first imaging apparatus including a first optical system, and a second imaging apparatus including a second optical system. A focal length of the first optical system is longer than a focal length of the second optical system. The processor performs registration between a first captured image obtained by imaging with the first imaging apparatus and a second captured image obtained by imaging with the second imaging apparatus, acquires information that is related to a registration result, and output the first captured image, the second captured image, and the information to a display.