Automatic Camera Calibration Pattern Recognition
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Solution Overview
Problem
Existing camera calibration methods require manual recognition of calibration patterns, which is time-consuming and prone to errors, and lack the ability to automatically select the appropriate calibration algorithm for the recognized pattern.
Innovation Solution
A camera calibration apparatus and method that automatically recognizes a captured calibration pattern by comparing it to pre-stored patterns, calculates the degree of similarity, and selects the corresponding calibration algorithm to perform camera calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recognition of calibration patterns is used, then flexibility in handling various patterns is maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs automatic calibration without human intervention. The recognition unit automatically detects calibration patterns, the selection unit automatically chooses appropriate algorithms, and the execution unit automatically performs calibration, eliminating manual operations and reducing calibration time while maintaining accuracy
Solution Approach 2:
Manual mechanical recognition and selection processes are replaced with automated image processing and algorithm selection systems. The recognition unit uses image processing to detect patterns, and the selection unit uses automated logic to choose algorithms, replacing human manual operations with electronic systems
2Adaptability or versatility
If multiple calibration algorithms are prepared for different patterns, then adaptability to various calibration patterns is improved, but device complexity increases
Solution Approach 1:
The calibration apparatus is designed to handle multiple types of calibration patterns through a unified system. The recognition unit can identify different pattern types, and the selection unit automatically selects from multiple algorithms based on the detected pattern, allowing one system to perform multiple calibration functions without requiring separate dedicated systems for each pattern type
Solution Approach 2:
The selection unit acts as an intermediary between the recognition unit and execution unit. It receives pattern identification information, determines the appropriate calibration algorithm based on the pattern type, and directs the execution unit to use the selected algorithm, thereby managing the complexity of multiple algorithms through a centralized selection mechanism
Data Source
AI summary
Disclosed herein are a method and apparatus for a camera calibration. According to an embodiment, the method for the camera calibration may include a recognition unit configured to recognize a captured calibration pattern, a selection unit configured to select, among a plurality of preset calibration algorithms, a calibration algorithm corresponding to the recognized calibration pattern and an execution unit configurated to perform camera calibration by using the selected calibration algorithm and the captured calibration pattern.


