To determine the camera's world coordinates using a chessboard image, you can follow these steps:
Obtain a high-resolution image of a standard chessboard (8x8 squares).
Print the chessboard image on a plain white paper of known dimensions (e.g., A4 size, 8.5x11 inches).
Place the printed chessboard on a flat surface, preferably with good lighting and contrast.
Take a picture of the chessboard from different angles and positions using the camera you want to calibrate.
Use a software package like OpenCV or Matlab to detect the corners of the chessboard squares in the images.
Compute the intrinsic and extrinsic camera parameters using a calibration algorithm, such as the Zhang's method or the Tsai's method, which requires at least 10 images with different orientations and positions of the chessboard.
Once you obtain the camera parameters, you can use them to project the image points onto the world coordinates using the pinhole camera model.
Finally, you can verify the accuracy of the calibration by measuring the distances between some of the chessboard corners in the world coordinates and compare them with the true distances.
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