Abstract
The camera calibration matrix captures the transformation of a 3D point onto a 2D image plane as occurs in the camera being used for imaging. Given the world coordinates of a number of precisely placed points in a 3D space, camera calibration requires the measurement of the 2D projection of those scene points on the image plane. While the coordinates of the points in 3D space can be measured precisely, the image coordinates that are determined from the digital image are not precise mainly because of the measurement noise. In this paper, we derive analytical relationships between the errors in the intrinsic camera parameters (ICPs) due to error in measurements. We show that the errors in the ICPs are Gaussian distributed when the measurement noise is Gaussian. We verify these results experimentally.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
