Camera Calibration Using Repeating Pattern Target With Reference Markers
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Solution Overview
Problem
Existing camera calibration methods are not optimal, particularly for systems with multiple cameras, as they often require capturing the entirety of the calibration target, which can be difficult and decrease accuracy.
Innovation Solution
The use of a calibration target with a repeating pattern and uniquely identifiable reference markers allows for the determination of calibration parameters even when images capture less than all features, facilitating improved accuracy and flexibility in calibrating multiple imaging devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing camera calibration methods are used, then calibration can be performed, but accuracy decreases when images capture less than all features of the calibration target
Solution Approach 1:
The calibration target is divided into multiple repeating pattern units, each containing identifiable features. This segmentation allows the calibration algorithm to work with partial views of the target, as each repeating unit provides sufficient information for calibration when combined with the known repeating structure.
Solution Approach 2:
The invention changes the parameters of the calibration target by adding uniquely identifiable reference markers to the repeating pattern. These reference markers provide additional constraints that enable accurate calibration even when not all features are visible, transforming the calibration problem from requiring complete feature sets to working with partial feature sets augmented by reference markers.
2Adaptability or versatility
If calibration targets without repeating patterns are used, then feature identification is straightforward, but calibration flexibility and accuracy with partial feature capture deteriorate
Solution Approach 1:
While the overall pattern repeats symmetrically, each repeating unit contains asymmetrically positioned reference markers with unique identifiers. This combination of symmetric repetition with asymmetric unique features within each unit provides both the flexibility of partial view calibration and the simplicity of feature identification.
3Reliability
If multiple imaging devices are calibrated using traditional methods, then comprehensive calibration is achieved, but the process becomes more complex and less accurate when features are partially captured
Solution Approach 1:
The repeating pattern calibration target with reference markers serves as a universal calibration standard that can be used for calibrating multiple imaging devices simultaneously or sequentially. The same target structure works for any number of cameras, providing a multi-functional solution that simplifies the calibration process for multi-device systems while maintaining high reliability through the repeating pattern structure.
Data Source
AI summary
Systems, methods, and devices for calibrating one or more imaging devices are provided. In one aspect, a method comprises: receiving, from each of the one or more imaging devices, a plurality of images of a calibration target comprising a plurality of features and one or more reference markers; determining a spatial relationship between the one or more reference markers in each image of the plurality of images and the one or more reference markers on the calibration target; formulating, based on the spatial relationship, a correspondence between image coordinates of features in each image of the plurality of images and global coordinates for corresponding features on the calibration target; and determining, based on the correspondence, calibration parameters for the one or more imaging devices.