  Non-line-of-sight imaging has attracted more attentions for its wide
applications.Even though ultrasensitive cameras or detectors with high
time-resolution are available, current back-projection methods are still
powerless to acquire a satisfying reconstruction of multiple hidden objects due
to severe aliasing artifacts. Here, a novel back-projection method is developed
to reconstruct multiple hidden objects. Our method considers decomposing all
the ellipsoids in a confidence map into several clusters belonging to different
objects (namely ellipsoid mode decomposition), and then reconstructing the
objects individually from their ellipsoid modes by filtering and thresholding,
respectively. Importantly, the simulated and experimental results demonstrate
that this method can effectively eliminate the impacts of aliasing artifacts
and exhibits potential advantages in separating, locating and recovering
multiple hidden objects, which might be a good base for reconstructing complex
non-line-ofsight scenes.
