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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BBN experiment 3<br />
“Facial expression recognition starting form the value <strong>of</strong> parameters”<br />
Details on the analysis<br />
- Conditioned probability tables contain values taken from 485 training samples<br />
- Each sample is a 22+10 size vector containing all the analyzed Action Units and the 10<br />
parameter values<br />
- The network contains one parameter for expression recognition + 22 parameters for<br />
encoding Aus, each parameter has 2 states (present/absent) + 10 parameters for dealing<br />
with the value <strong>of</strong> the model analyzed parameters, 5 states<br />
The topology <strong>of</strong> the network<br />
<strong>Recognition</strong> results. Confusion Matrix.<br />
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