Assessment of Multi-Camera Calibration Algorithms for Two-Dimensional Camera Arrays Relative to Ground Truth Position and Orientation

Assessment of Multi-Camera Calibration Algorithms for Two-Dimensional Camera Arrays Relative to Ground Truth Position and Orientation

Camera calibration methods are commonly evaluated on cumulative reprojection error metrics, on disparate one-dimensional datasets. To evaluate calibration of cameras in two-dimensional arrays, assessments need to be made on two-dimensional datasets with constraints on camera parameters. In this study, accuracy of several multi-camera calibration methods has been evaluated on camera parameters that are affecting view projection the most.

Lab setup of a multi-camera rig for calibration algorithm evaluation
Left: A scene state (central checkerboard position) captured in our dataset with 15 viewpoint camera positions. Right: 3 Canon EOS M cameras rigidly affixed to a moving dolly, set in position 1 of 5.
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