A calibration method for non-overlapping cameras based on mirrored phase target

A novel calibration method for non-overlapping cameras is proposed in this paper. A LCD screen is used as a phase target to display two groups of orthogonal phase-shifted sinusoidal patterns during the calibration process. Through a mirror reflection, the phase target is captured by the cameras respectively. The relations between each camera and the phase target can be obtained according the proposed algorithm. Then the relation between the cameras can be calculated by treating the phase target as an intermediate value. The proposed method is more flexible than conventional mirror-based approach, because it do not require the common identification points and is robust to out-of-focus images. Both simulation work and experimental results show the proposed calibration method has a good result in calibrating a non-overlapping cameras system

Dryad.xls

Dryad.xl

Parameter estimation for different sets of summary statistics.

<p>Boxplots showing the distribution of mean values of the 1000 posterior distributions for the replicates for the population scaled mutation rate (), the time of the bottleneck () and the strength of the bottleneck () for datasets with low () and high () genetic variation. Thick lines denote the median, the boxes extend to the first (25%) and third quartiles (75%) and the whiskers give the minimum and maximum values. The dotted red lines show the true values for the BNM (, ).</p

PCH sequences

Sequences for the locus PCH

M002 sequences

Sequences for the locus M002

SB29 sequences

Sequences for the locus SB29

4CL sequences

Sequences for the locus 4CL

SE1390 sequences

Sequences for the locus SE1390

The effect of bottleneck severity on power.

<p>The power to correctly reject the SNM in favor of BNMs of different strengths, expressed as the relative effective population size during the bottleneck.</p

Power and false positive rate for different sets of summary statistics.

<p>The power () and false positive rate () associated with rejecting a SNM in favor of a BNM for the TPH (, , ), SFS3 (3 bin relative site frequency spectrum), T+SFS3 (, 3 bin relative site frequency spectrum), SFS5 (5 bin relative site frequency spectrum) and TPH+DH (, , , , ) sets of summary statistics. .</p