Using points at infinity for parameter decoupling in camera calibration.
The majority of camera calibration methods, including the Gold Standard algorithm, use point-based information and simultaneously estimate all calibration parameters. In contrast, we propose a novel calibration method that exploits line orientation information and decouples the problem into two simpler stages. We formulate the problem as minimization of the lateral displacement between single projected image lines and their vanishing points. Unlike previous vanishing point methods, parallel line pairs are not required. Additionally, the invariance properties of vanishing points mean that multiple images related by pure translation can be used to increase the calibration data set size without increasing the number of estimated parameters. We compare this method with vanishing point methods and the Gold Standard algorithm and demonstrate that it has comparable performance.
Guillemaut
Jean-Yves
JY
School of Electronics and Physical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK. jean-yves.guillemaut@surrey.ac.uk
Aguado
Alberto S
AS
Illingworth
John
J
D000465:Algorithms; D001185:Artificial Intelligence; D002138:Calibration / Q000592:standards; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010781:Photography / Q000295:instrumentation / Q000379:methods* / Q000592:standards; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity