March 2019
Intermediate to advanced
532 pages
13h 2m
English
Content preview from Mastering OpenCV 4 with Python
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Camera calibration
Before obtaining the camera pose using the detected markers, it is necessary to know the calibration parameters of the camera. In this sense, ArUco provides the necessary calibration procedures to perform this task. Note that the calibration procedure is only performed once because the camera optics are not modified. The main function to use in the calibration process is cv2.aruco.calibrateCameraCharuco().
The aforementioned function calibrates a camera using a set of corners from several views extracted from a board. When the calibration process is finished, this function returns the camera matrix (a 3 x 3 floating-point camera matrix) and a vector containing the distortion coefficients. More specifically, the 3 x 3 matrix ...
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