  Nearly all 3D displays need calibration for correct rendering. More often
than not, the optical elements in a 3D display are misaligned from the designed
parameter setting. As a result, 3D magic does not perform well as intended. The
observed images tend to get distorted. In this paper, we propose a novel
display calibration method to fix the situation. In our method, a pattern image
is displayed on the panel and a camera takes its pictures twice at different
positions. Then, based on a quantitative model, we extract all display
parameters (i.e., pitch, slanted angle, gap or thickness, offset) from the
observed patterns in the captured images. For high accuracy and robustness, our
method analyzes the patterns mostly in frequency domain. We conduct two types
of experiments for validation; one with optical simulation for quantitative
results and the other with real-life displays for qualitative assessment.
Experimental results demonstrate that our method is quite accurate, about a
half order of magnitude higher than prior work; is efficient, spending less
than 2 s for computation; and is robust to noise, working well in the SNR
regime as low as 6 dB.
