Camera Calibration Device Using Automatic Object Extraction
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Solution Overview
Problem
Manual input of coordinate information for camera calibration is labor-intensive and prone to human errors, increasing workloads and reducing accuracy in monitoring camera installations.
Innovation Solution
A calibration device that includes an image acquisition unit, object extraction unit, characteristic information addition unit, camera parameter estimation unit, and output unit, which extracts objects from images, adds geometric information, and estimates camera parameters without manual input of coordinate data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input of coordinate information is used for camera calibration, then calibration can be performed with simple equipment, but workloads increase and human errors occur frequently
Solution Approach 1:
The calibration device automatically extracts objects from images, obtains their coordinates, and performs calibration without requiring manual coordinate input. The system serves itself by using the imaging device to capture images and then automatically processing these images to extract feature point information, eliminating the need for manual intervention and reducing human errors.
Solution Approach 2:
The patent replaces the manual mechanical process of coordinate input with an automated image processing system. Instead of manually measuring and inputting coordinates, the system uses image acquisition units to capture images and automatically extracts coordinate information from these images through object extraction algorithms, substituting manual operations with automated computational processes.
2Productivity
If manual coordinate input is used for calibration, then equipment requirements are minimal, but productivity decreases due to increased workloads
Solution Approach 1:
The system performs preliminary actions by automatically capturing images and extracting object coordinates before the calibration calculation is performed. The image acquisition units capture images of the calibration target, and the object extraction unit pre-processes these images to identify feature points and their coordinates, preparing all necessary data in advance for the calibration computation, thereby streamlining the overall process and improving productivity.
3Ease of operation
If automatic object extraction is implemented, then manual input work is eliminated, but device complexity increases
Solution Approach 1:
The calibration device integrates multiple functions into a single system: image acquisition, object extraction, coordinate measurement, and calibration calculation. The imaging device serves both as the primary sensing tool and as a source for calibration data, while the processing unit performs multiple tasks including image processing, feature detection, and mathematical computation, reducing the need for separate manual operations and external equipment.
Data Source
AI summary
In a calibration device, entry work of coordinate information on a real space is not required. An imaging system is configured to include an image acquisition unit which acquires an image from an imaging device, an object extraction unit which extracts a plurality of objects from the image, a characteristic information addition unit which adds geometry information that indicates geometric relationships among the plurality of objects to each set of objects as characteristic information, a camera parameter estimation unit which obtains image coordinates of the objects in accordance with the characteristic information to estimate camera parameters based on the characteristic information and the image coordinates, and a camera parameter output unit which outputs the camera parameters.