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

[Alex]

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





--- Comment #64 from Alex <alexjironkin gmail com>  2009-07-30 20:18:37 ---
I have been thinking about this for a while, and working with OpenCV face
detection seems to be quiet good, even if it not 100% accurate.

However, I am still struggling with a way to do face recognition. K a simple
way, like using histogram is quiet easy, but what I have in mind is this:

The training of the classifier for the face recognition has to be done
continually, e.i. the more it works the better it gets. Learns from itself. But
I am struggling to find how that could be done. OpenCV has a haartraining and
it would be nice if one could use it to update with the fresh set of the
positive and negative data, that has been aquired in between last time the
training was run and now.  Then use current classifier with this data to
produce new one, a better version of the old one. However, I don;t know
wheather that is possible in current OpenCV haartraining. 

Any other thought on how it could be done?

-- 
Configure bugmail: https://bugs.kde.org/userprefs.cgi?tab=email
------- You are receiving this mail because: -------
You are the assignee for the bug.