Title: Camera Calibration by Global Constraints on the Motion of Silhouettes,
Abstract: We address the problem of epipolar geometry using the motion of silhouettes.
Such methods match epipolar lines or frontier points across views, which are
then used as the set of putative correspondences. We introduce an approach that
improves by two orders of magnitude the performance over state-of-the-art
methods, by significantly reducing the number of outliers in the putative
matching. We model the frontier points' correspondence problem as constrained
flow optimization, requiring small differences between their coordinates over
consecutive frames. Our approach is formulated as a Linear Integer Program and
we show that due to the nature of our problem, it can be solved efficiently in
an iterative manner. Our method was validated on four standard datasets
providing accurate calibrations across very different viewpoints.