In this paper, a novel age estimation method by using active appearance model (AAM) combining with local texture
feature is presented, which overcomes the drawbacks of the AAM. Use the multi-scale local binary patterns (MLBP) as
the local texture descriptors to get the rotation invariant texture features. Build the combined AAM model using MLBP
features. In this way, both global face features and local texture features are used. The support vector regression (SVR) is
used to estimate the facial age. The face aging data set FG-NET is used. Experimental results demonstrate the AAM
combined MLBP method performing a lower mean-absolute error (MAE) and high accuracy of estimation comparing to
other method results.
The transient wave underground detection system is presented in this paper, and the
transient scattering by underground targets is analyzed and calculated using finite difference in
time-domain (FDTD) method, especially, the identification of underground particular cylinder is
studied. A new simple and efficient method and some reliable data for the identification of
particular targets in transient wave underground detection system are provided, and as a new idea
is offered to further studying of identifications of others complicated underground targets.
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