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Detects a chessboard calibration grid on the image, and returns calibration points where 4 chessboard squares meet.
Name | Type | Range | Description | |
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inImage | Image | Input image | |
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inBoardSize | Size | Number of checkerboard squares in X and Y dimensions. | |
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inWorldSquareSize | Real | 0.001 - ![]() |
Real-world length of a single chessboard square. |
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inFastApproximate | Bool | Fast filter execution, but result is approximate. | |
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outImagePoints | Point2DArray? | Image coordinates of detected calibration points. | |
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outWorldPlanePoints | Point2DArray? | World plane coordinates of detected calibration points. |
Applications
Camera calibration, image to world coordinates transformations.
Examples

DetectCalibrationGrid_Chessboard executed with inBoardSize = {10,7}
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
Error type | Description |
---|---|
DomainError | Input image is too small |
DomainError | Input image must have pixels of UInt8 type |
DomainError | Specified board is too small, minimum size is 4x4 |
Complexity Level
This filter is available on Basic Complexity Level.
Filter Group
This filter is member of DetectCalibrationGrid filter group.
See Also
- DetectCalibrationGrid_CircleBoard – Detects a fixed-size symmetric circle calibration pattern on the image.
- DetectCalibrationGrid_Circles – Detects an arbitrary size symmetric circle pattern on the image.