Automated Checker Board Orientation Detection for Camera Calibration
Camera calibration is an important process in 3D image reconstruction, which is used to estimate camera intrinsic resolution, extrinsic resolution and lens distortion parameters. In this study, we attempt to automate the checkerboard orientation detection for camera calibration of 76 checkerboard patterns. In current practice, limitation exists as the system used manual clicking to obtain four extreme corners of checkerboard patterns to determine its orientation. Thus, Harris algorithm with colour thresholding method was proposed alongside with a customized checkerboard to make the system automatically detect the pattern without having the users to repeat the process of determining the four corners in sequence. All the 76 images of checkerboard pattern were tested by the proposed method and the result shows that the success rate is 93.75%. Factors that affecting the result are validated and discussed for future improvement.
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