They evaluated the recognition performance of MACE in the presence of the expression variations and
illumination changes using peak-to-sidelobe ratio (PSR) as decision criteria. In face expression tests, these authors found that
MACE filter can still achieve 99.1% verification performance even
in the most unsatisfying case (subject) if the filter are formulated
from three training images (from the same subject).