  We test the feasibility of 3D coronal-loop tracing in stereoscopic EUV image
pairs, with the ultimate goal of enabling efficient 3D reconstruction of the
coronal magnetic field that drives flares and coronal mass ejections (CMEs). We
developed an automated code designed to perform triangulation of coronal loops
in pairs (or triplets) of EUV images recorded from different perspectives. The
automated (or blind) stereoscopy code includes three major tasks: (i) automated
pattern recognition of coronal loops in EUV images, (ii) automated pairing of
corresponding loop patterns from two different aspect angles, and (iii)
stereoscopic triangulation of 3D loop coordinates. We perform tests with
simulated stereoscopic EUV images and quantify the accuracy of all three
procedures. In addition we test the performance of the blind stereoscopy code
as a function of the spacecraft-separation angle and as a function of the
spatial resolution. We also test the sensitivity to magnetic non-potentiality.
The automated code developed here can be used for analysis of existing {\sl
Solar TErrestrial RElationship Observatory (STEREO)} data, but primarily serves
for a design study of a future mission with dedicated diagnostics of
non-potential magnetic fields. For a pixel size of 0.6\arcsec (corresponding to
the {\sl Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA)}
spatial resolution of 1.4\arcsec), we find an optimum spacecraft-separation
angle of $\alpha_s \approx 5^\circ$.
