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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contains a large sample <strong>of</strong> varying age, gender and ethnic background and so the<br />
robustness to the individual changes in <strong>facial</strong> features and behavior is high. The BBN<br />
model takes care <strong>of</strong> the variation and degree <strong>of</strong> uncertainty and gives us an improvement<br />
in the quality <strong>of</strong> recognition. As <strong>of</strong>f now, the results are very promising and show that the<br />
new approach presents high efficiency. The further work is focused on the replacement <strong>of</strong><br />
the feature extraction method at the preprocessing stage. It is more convenient to adapt<br />
the system to be working in a regular context without the need <strong>of</strong> infra red light to be<br />
present in order to make the key point detection available.<br />
A BBN model was also created for encoding also temporal behavior <strong>of</strong> certain<br />
parameters.<br />
Figure 6. Dominant emotion in the sequence<br />
Figure 7. Examples <strong>of</strong> expression recognition applied on video streams<br />
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