Reconstructing camera projection matrices from
multiple pairwise overlapping views
Computer Vision and Image Understanding
In this work we address the problem of projective
reconstruction from multiple views with missing data.
algorithms require point correspondences across all
the views. In many applications this is an unrealistic
assumption. Current methods that solve the problem of
projective reconstruction with missing data
require correspondence information across triplets of images.
We propose a projective reconstruction method
that yields a consistent camera set
given the fundamental matrices between pairs of views without directly using
the image correspondences.
The algorithm is based on breaking the reconstruction problem
into small steps. In each step, we eliminate as much
uncertainty as possible.