Camera Self-Calibration Using Known Object Dimensions
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Solution Overview
Problem
Existing camera calibration methods require user interaction and additional sensors, leading to increased hardware costs and complexity, while also being inefficient in accurately scaling images without known object dimensions.
Innovation Solution
A method that automatically analyzes recorded images to identify objects with known dimensions, using pixel correlation and optional user input for calibration, allowing for three-dimensional scaling without additional sensors, and utilizing symbols like QR codes for improved recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors and user interaction are used for calibration, then measurement precision is improved, but device complexity and hardware cost increase
Solution Approach 1:
The camera system performs self-calibration by automatically detecting objects with known dimensions in the field of view and computing scaling factors without requiring external sensors or manual user input, thereby achieving accurate calibration while minimizing hardware complexity
Solution Approach 2:
The patent replaces physical measurement sensors with computational image analysis methods, using software-based object recognition and pixel dimension analysis to determine scaling factors instead of mechanical or electronic measurement devices
2Measurement precision
If manual input of size information is required, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically retrieves size information for detected objects from databases or predefined libraries without requiring users to manually input dimensions, thereby maintaining high measurement precision while significantly improving ease of operation
Solution Approach 2:
Size information for common objects is pre-stored in databases or libraries before the calibration process, allowing the system to automatically retrieve and apply this information during calibration without requiring real-time manual input from users
3Measurement precision
If multiple sensors are added for three-dimensional scaling, then measurement precision is improved, but loss of substance increases
Solution Approach 1:
The camera system independently determines three-dimensional scaling by analyzing pixel dimensions of detected objects against their known real-world dimensions, eliminating the need for additional distance sensors, depth sensors, or other measurement hardware
Solution Approach 2:
The image processing unit performs multiple functions including object detection, size measurement, scaling factor calculation, and three-dimensional space determination using only the camera's inherent imaging capability, rather than requiring specialized sensors for each function
Data Source
AI summary
A method for setting a camera, in particular of a monitoring device, comprising a recording of an image of a region to be monitored, an analysis of the recorded image to associate at least one image region of the image with an object, identification of the object on the basis of the acquired image region and ascertainment of a size of the object by access to stored size information of the identified object and a scaling of the image region associated with the object in the recorded image to scale the remaining acquired image and/or to determine a distance of the camera to the acquired object.