Conclusions
In this paper, the development and implementation of a new
approach for camera self-calibration with radial distortion is
presented. A particular feature of the approach is that the in-
terior orientation parameters are estimated from line segments
and an ellipse in the image. A further feature of the approach
is that the first radial distortion coefficient, the principal
distance, and principal point are iteratively refined by using
the current principal point as the distortion center. A series
of experiments on simulated and real data are presented in
this paper. Compared with the existing method, the experi-
ments of simulated data demonstrate that the approach is less
affected by different levels of the radial distortion and the
distortion center. The experiments results from the simulated
and real data show that the approach is effective and suitable
for a single image.
Of course, the approach works with vanishing points. This
means that, its accuracy depends on the vanishing points ob-
tained by extracted line segments in the image. In this sense,
an important further work would be to improve the precision
of line segments extraction and vanishing points detection.
Acknowledgments
The work described in this paper was supported by the
National Science and Technology Support Program Reference
(Project No: 2012BAH35B02), the Natural Science Founda-
tion of China (Project No: 41401442), the Foundation of
Graduate Innovation Plan of Jiangsu Province (Project No:
KYLX15_0748), and the Ministry of Public Security Science
and Technology Foundation Special Funding of China (Proj-
ect No: 2014GABJC009). We thank the anonymous reviewers
on the earlier versions of this paper.
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