Camera Calibration and 3D Scene Reconstruction from image sequence and rotation sensor data
Jan‐Michael Frahm, Reinhard Koch · Vision Modeling and Visualization · 2003
We address the problem of using external rotation information together with uncalibrated video sequences for improved calibration and 3Dreconstruction. It is shown that with a combination of a linear and a statistical approach a full calibration of the cameras can be computed from the fundamental matrices and the rotation data alone. The statistical calibration exploits some common constraints of cameras. It is analyzed which constraints are needed for the calibration of a freely moving camera. Furthermore we show that this calibration technique improves metric 3D scene reconstruction and avoids projective skew.