lern-tracking-system/raspberry-pi/sensors/camera_calibration-master

Calibrate camera with arUco markers using opencv and python.

(Code developed and tested on opencv 3.3.1)

camera_calibration

Code and resources for camera calibration using arUco markers and opencv

1. Print the aruco marker board provided. (You can generate your own board, see the code "camera_calibration.py")
2. Take around 50 images of the printed board pasted on a flat card-board, from different angles. Use Use data_generation node for this.
3. Set path to store images first. (See sample images of arUco board in aruco_data folder)

Calibrating camera

1. Measure length of the side of individual marker and spacing between two marker.
2. Input above data (length and spacing) in "camera_calibration.py".
3. Set path to stored images of aruco marker.
4. Set calibrate_camera flag to true.