Self-calibrating a stereo head: an error analysis in the neighbourhood of degenerate configurations
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 747-753
- https://doi.org/10.1109/iccv.1998.710801
Abstract
We show that the self-calibration of a stereo head corresponding points in an image pair is in certain circumstances prone to considerable error. A novel error analysis reveals that the automated determination of relative orientation and focal length is adversely affected when the cameras verge inwards a similar amount, and when the principal point locations have a horizontal error. This analysis is facilitated by the adoption of closed-form solutions for self-calibration from previous work of the authors. It is also shown that estimation of the fundamental matrix associated with a stereo head image pair is improved when a domain-specific parameterisation and associated computational techniques are adopted. Experiments conducted with such image pairs suggest that, given cognisance of sensitive configurations and adoption of the revised method of fundamental matrix estimation, robust reconstructions are attainable. This is demonstrated on the problem of metrically reconstructing a scene from two pairs of images obtained by an uncalibrated stereo head undergoing unknown ground-plane motion.Keywords
This publication has 7 references indexed in Scilit:
- In defence of the 8-point algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Metric calibration of a stereo rigPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Motion of an uncalibrated stereo rig: self-calibration and metric reconstructionIEEE Transactions on Robotics and Automation, 1996
- Fast computation of the fundamental matrix for an active stereo vision systemPublished by Springer Nature ,1996
- A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometryArtificial Intelligence, 1995
- Techniques for calibration of the scale factor and image center for high accuracy 3-D machine vision metrologyIEEE Transactions on Pattern Analysis and Machine Intelligence, 1988
- Random sample consensusCommunications of the ACM, 1981