Appendix C. Calibration Patterns

Calibration Patterns Used by OpenCV

There are many different kinds of calibration patterns. Each pattern or marker could be used in a calibration procedure or just to find the 3D pose of that marker. Figures C-1 through C-7 show seven different patterns or markers.

Chessboard pattern (9 × 6 corners) for camera calibration or pose. This pattern can be used with the standard calibration technique described in Chapter 18, or in the camera calibration tutorial available online at opencv.org.
Figure C-1. Chessboard pattern (9 × 6 corners) for camera calibration or pose. This pattern can be used with the standard calibration technique described in Chapter 18, or in the camera calibration tutorial available online at opencv.org
Circular features calibration or pose pattern. For this we can use the standard calibration technique described in this book or in the tutorial_camera_calibration.html online in http://docs.opencv.org using the findCirclesGrid() function.
Figure C-2. Circular features calibration or pose pattern. For this we can use the standard calibration technique described in this book or in tutorial_camera_calibration.html online using the findCirclesGrid() function
Random pattern for calibration or pose. You can find an example of how to use this pattern by following the code in .../opencv_contrib/modules/ccalib/samples/random_pattern_calibration.cpp.
Figure C-3. Random pattern for calibration or pose. You can find an example of how to use this pattern by following the code in .../opencv_contrib/modules/ccalib/samples/random_pattern_calibration.cpp
ArUco board for calibration or pose. See the “Calibration with ArUco and ChArUco” tutorial online at opencv.org for how to detect and calibrate with this board.
Figure C-4. ArUco board for calibration or pose. See the “Calibration with ArUco and ChArUco” tutorial online at opencv.org for how to ...

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