Camera self-calibration from unknown planar structures enforcingthe multiview constraints between collineations
Malis, E.; Cipolla, R.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 24, Issue 9, Sep 2002 Page(s): 1268 - 1272
Digital Object Identifier 10.1109/TPAMI.2002.1033217
Summary:In this paper, we describe an efficient method to impose the
constraints existing between the collineations between images which can
be computed from a sequence of views of a planar structure. These
constraints are usually not taken into account by multiview techniques
in order not to increase the computational complexity of the algorithms.
However, imposing the constraints is very useful since it allows a
reduction of geometric errors in the reprojected features and provides a
consistent set of collineations which can be used for several
applications such as mosaicing, reconstruction, and self-calibration. In
order to show the validity of our approach, this paper focus on
self-calibration from unknown planar structures proposing a method
exploiting the consistent set of collineations. Our method can deal with
an arbitrary number of views and an arbitrary number of planes and
varying camera internal parameters. However, for simplicity, this papers
will only discuss the case with one plane in several views. The results
obtained with synthetic and real data are very accurate and stable even
when using only few images
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