Lens Distortion Center Calibration via Rotating Frame
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Solution Overview
Problem
Current methods for calibrating the lens distortion center in image acquisition systems are inefficient and unstable due to manual adjustment of checkerboard calibration plates, leading to heavy workload and poor calibration results.
Innovation Solution
A device and method utilizing a rotating frame with driving mechanisms to adjust the relative position of a calibration plate and lens placement platform, including an arc-shaped guide rail and motors for precise positioning, and a calibration plate with AR glass and a light source, allowing for automated image capture and distortion center calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual adjustment of checkerboard calibration plate is used, then device complexity is reduced, but productivity and measurement precision deteriorate due to heavy workload and low efficiency
Solution Approach 1:
The system performs self-calibration through automated coordinate transformation between the rotating frame coordinate system and the image coordinate system. The calibration plate automatically captures images at different rotation angles, and the computer calculates distortion center coordinates through coordinate transformation algorithms, eliminating the need for manual adjustment and significantly improving calibration efficiency
Solution Approach 2:
The patent replaces manual mechanical adjustment with an automated system consisting of a rotating frame driven by a motor, a calibration plate with automatic image capture, and computer-based coordinate transformation algorithms. This substitution of mechanical manual operation with automated mechanical and computational systems resolves the contradiction between device simplicity and calibration efficiency
2Device complexity
If manual adjustment of checkerboard calibration plate is used, then device complexity is reduced, but stability of calibration results deteriorates
Solution Approach 1:
The system implements feedback through automated coordinate transformation and calculation. The computer continuously processes image data from multiple rotation angles, transforms coordinates between reference frames, and calculates the distortion center position through mathematical algorithms. This automated feedback loop ensures consistent and stable calibration results by eliminating human error and variability in manual adjustment
Solution Approach 2:
The patent replaces manual mechanical adjustment with an automated system consisting of a rotating frame driven by a motor, a calibration plate with automatic image capture, and computer-based coordinate transformation algorithms. This substitution of mechanical manual operation with automated mechanical and computational systems resolves the contradiction between device simplicity and calibration efficiency
3Measurement precision
If automated rotating frame with driving mechanism is used, then productivity and measurement precision are improved, but device complexity increases
Solution Approach 1:
The patent divides the calibration system into distinct functional modules: a rotating frame module for angular positioning, a calibration plate module with checkerboard pattern for feature detection, an image capture module, and a computer module for coordinate transformation and calculation. This segmentation allows each component to perform its specific function independently, improving measurement precision while making the overall system complexity manageable through modular design
Solution Approach 2:
The rotating frame serves multiple functions: it positions the calibration plate at different angles, provides a reference coordinate system for transformation, and enables automated image capture from multiple perspectives. This multi-functionality reduces the need for separate devices and components, thereby improving measurement precision without proportionally increasing device complexity
Data Source
AI summary
The invention provides a device and method for calibrating a lens distortion center. The device includes a rotating frame, a first driving mechanism and a second driving mechanism. The first driving mechanism is connected with the rotating frame for driving the rotating frame to rotate. A calibration plate is arranged in the rotating frame and connected with the rotating frame through a rotating shaft. The second driving mechanism is connected with the calibration plate for driving the calibration plate to rotate relative to the rotating frame, and a lens placement platform is provided at a front end of the calibration plate. The device of the invention can adjust the relative position between the calibration plate and the lens through the cooperation of the first driving mechanism with the second driving mechanism, so that a lens can acquire different images to achieve calibration of lens distortion.