Abstract
This paper deals with the ego-motion estimation (motion of the camera) from two views. To estimate an ego-motion we have to find correspondences and we need a calibrated camera. In this paper we solve the problem how to propagate known camera calibration errors into the uncertainty of the motion parameters. We present a linear estimate of the uncertainty in ego-motion based on the uncertainty in the calibration parameters. We show that the linear estimate is very stable.
Cite
CITATION STYLE
Svoboda, T., & Sturm, P. (1997). A badly calibrated camera in ego-motion estimation-propagation of uncertainty. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1296, pp. 183–190). Springer Verlag. https://doi.org/10.1007/3-540-63460-6_116
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
