The retrieval of images containing human faces requires detection
of human faces in such images. We implemented a new method that segments
skin regions out and locate faces using template matching in order to detect
frontal human faces. We used 30 images to test the performance of this
implementation and we got 76% of accuracy.
The misses usually included regions with a similar skin likelihood values and regions that certainly were skin regions, but corresponded to other parts of the body such as legs and arms. In other cases, misses were found due the constrain we set of having one or more holes in a skin region to be in considered for the processing described in the previous sections.
Our current implementation is limited to the detection of frontal
human faces. A possible and interesting extension would be to expand
the template matching process to include sided-view faces as well.
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