[Digikam-devel] [Bug 146288] Face detection / recognition for digikam

[Claudio Noguera]

https://bugs.kde.org/show_bug.cgi?id=146288





--- Comment #62 from Claudio Noguera <claudio noguera gmail com>  2009-07-07 14:19:22 ---
I tried myself the opencv facedetect example. I used the python version and
made a little python script that applied the tag "person" to every picture with
a face. It writes directly into the database, it's not connected with digikam
at all.
Two things about this detector:
- Increase the minimum size of a face. I changed it to a minimum of 100x100.
That way it takes about 0.6 seconds per picture (my pictures are on average
about 7 MPx).
- A lot of false possitives.

Due to the amount of false positives, I think it is worth implementing our own
face detection method. However, as a first step, it would be really nice to
have this one as a base so we can build from it.

About the opencv approach. It is a cascade classifier built with a boosting
technique on a set of haar features. The problem is that the set of haar
features is too little, so we'll need a way to specify Haar features and
calculate them. To my knowledge, openCV's predefined functions only calculate
the reduced set of features used by its classifier.
There are other techniques to detect faces, however this one seems the most
appropriate.

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