Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
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Once executed, the tool recurrently searched for files having the extension “KH” in a<br />
specified directory given as call parameter for the console application. For each file<br />
found, the application loads the content into the memory by storing the coordinates <strong>of</strong> the<br />
FCPs.<br />
For each sample, it further applies a set <strong>of</strong> computations in order to determine the value<br />
<strong>of</strong> the parameters (Table 7), given the adopted processing model (Figure 17).<br />
For the conducted experiment, no dynamic parameters were involved, since there were no<br />
data concerning the temporal variability available. However, the initial design included a<br />
general functional model that consisted also in a set <strong>of</strong> dynamic characteristics. For the<br />
results presented in the project report, there were also no values encoding the behavior <strong>of</strong><br />
the parameters related to the forehead, chin and nasolabial areas. Instead, an additional<br />
set <strong>of</strong> experiments was run for analyzing the influence <strong>of</strong> those parameters.<br />
Table 7. The set <strong>of</strong> parameters and the corresponding <strong>facial</strong> features<br />
The values <strong>of</strong> the parameters were initially considered real numbers. After the<br />
discretization process was finished, all the parameter values consisted in integer values.<br />
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