Camera Orientation Parameter Calibration via Zoom-Angle Tables
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Solution Overview
Problem
Existing methods for calibrating remotely controlled cameras fail to accurately account for the geometric structure of rotation axes and their impact on exterior orientation parameters, leading to inconsistencies in imaging and measuring accuracy across different zoom scales and rotation angles.
Innovation Solution
A method is developed to calibrate interior and exterior orientation parameters by establishing relationships between zoom scales and rotation angles, using self-calibration bundle adjustment and resection methods to derive polynomial equations and curve surfaces for accurate parameter calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If calibration is performed assuming rotation axes are orthogonal with overlapping centers, then calibration simplicity is improved, but imaging and measuring accuracy deteriorates due to geometric structure ignorance
Solution Approach 1:
The patent changes the calibration parameters from fixed geometric assumptions to variable parameters that adapt to different rotation angles and zoom scales. By introducing parameter tables that store calibration results for various rotation angles and zoom levels, the system achieves both computational simplicity and high accuracy without requiring complex real-time geometric calculations.
Solution Approach 2:
The patent performs preliminary calibration at multiple fixed positions (different rotation angles and zoom scales) during system setup, storing the results in parameter tables. During actual operation, the system simply retrieves pre-computed calibration parameters based on current position, avoiding complex real-time calculations while maintaining high accuracy.
2Measurement precision
If calibration is performed with distance between rotation axis center and projection center, then geometric accuracy is improved, but device complexity increases due to unknown geometric structure
Solution Approach 1:
The patent enables the calibration system to automatically adapt to the camera's actual geometric structure without requiring user input or manual configuration. The system self-calibrates by capturing images at multiple fixed positions and automatically computes the appropriate calibration parameters, hiding the complexity of geometric structure from the user while maintaining high accuracy.
Solution Approach 2:
The patent introduces intermediate parameter tables as mediators between the complex geometric structure and the calibration process. These tables store pre-computed calibration parameters for various rotation angles and zoom scales, serving as an intermediary that translates complex geometric relationships into simple lookup operations during actual use.
3Ease of manufacture
If calibration is performed at fixed positions only, then calibration process simplicity is improved, but adaptability to different zoom scales and rotation angles deteriorates
Solution Approach 1:
The patent transforms the static calibration approach into a dynamic system by creating parameter tables that adapt to different operation conditions. The calibration parameters are pre-computed for multiple fixed positions but can be dynamically retrieved and applied during operation based on current rotation angles and zoom scales, enabling the system to adapt to varying conditions while maintaining calibration simplicity.
Solution Approach 2:
The patent creates a universal calibration system that works across multiple zoom scales and rotation angles by storing calibration results in parameter tables. The same calibration framework serves all operational conditions, making the system universally applicable without requiring separate calibration procedures for different zoom levels or rotation angles.
Data Source
AI summary
The present invention calibrates interior orientation parameters (IOP) and exterior orientation parameters (EOP). With the calibrated IOPs and EOPs, a remotely controlled camera can quickly obtains corresponding IOPs and EOPs no matter on panning, tilting or zooming. Thus, the remotely controlled camera obtains accuracies on imaging and measuring and obtains wide applications.