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In an independent evaluation performed by Soatto and Perona
[49], a technique similar to the proposed one
demonstrated good results when compared to other variants. The
similar algorithm (referred to as the ``Structure Integral Filter'' in
their paper) was cast into a generic evaluation framework
[48] and then compared with subspace filters
[27], essential filters and fixation constraint
methods. The system performed well in terms of accuracy, robustness
and noise tolerance. The authors reported some sensitivity to
initialization errors in the technique. However, the aforementioned
bias estimation component did not seem to be included in the
estimation process. Erroneous initialization is precisely the reason
for including a bias estimation stage and it can easily be added to the
framework when these situations are expected.
1999-05-17