Publication

Estimation of camera calibration uncertainty using LIDAR data

Conference Article

Conference

European Conference on Mobile Robots (ECMR)

Edition

6th

Pages

361-366

Doc link

http://dx.doi.org/10.1109/ECMR.2013.6698868

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Download the digital copy of the doc pdf document

Authors

Projects associated

Abstract

This paper presents an analysis of uncertainty in the calibration of a network of cameras. A global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with non overlapping fields of view by means of the DLT-Lines algorithm. Once the projection matrix is computed for each camera, error sources are propagated to compute estimates of each camera position uncertainty. We validate the consistency of the uncertainty analysis with Monte-Carlo simulations, and apply the technique in a real camera network. This allows to evaluate the accuracy of DLT-Lines in real settings.

Categories

computer vision, robots.

Scientific reference

A.A. Ortega, R. Galego, R. Ferreira, A.J. Bernardino Malheiro, J. Gaspar and J. Andrade-Cetto. Estimation of camera calibration uncertainty using LIDAR data, 6th European Conference on Mobile Robots, 2013, Barcelona, pp. 361-366.