Linear camera autocalibration with varying parameters

We provide a new technique for the Euclidean upgrading of a projective calibration for a set of ten or more cameras with known skew angle and aspect ratio and arbitrary varying focal length and principal point. The proposed algorithm, which is purely linear and thus of very low computational cost and not suffering from initialization problems, is based on the geometric object given by the set of lines incident with the absolute conic. We include experiments which show the good performance of the technique.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Antonio Valdés, José Ignacio Ronda, Guillermo Gallego
• Keywords: Euclidean Upgrading, ICIP 2004, Image Processing, Initialization Problems, Known Skew Angle, Low Computational Cost, Projective Calibration