Face detection / recognition for digikam

[Christian Weiske]

Hello,


Reaching my personal 10.000 photos barrier in the next weeks, I face a problem:
Tagging photos by hand is not doable anymore since it takes too much time. While setting tags for a whole album (france, wedding, 2007) is easy and fast to do, tagging each of the 200+ photos in an album with the people on it is impossible.

When searching for photos, you often try to find a person - how it looked at a time, or generally need all photos of a certain person. Tags help here, but not all photos are tagged through the reason above. What I would like to see is a plugin that automatically detects faces and allows one to drag a tag from the tag tree on, or just add a tag to the detected face.

There are some face detection and recognition libraries out there that could be used, one well-known is the Intel's OpenCV lib [1]. libFace [2] is another one that specializes in face rec/det and uses intel's lib internally.

Gnome's F-Spot will get this feature trough the summer of code project [3, 4]. If it gets that, it'll be my personal killer feature to use fspot.

It would be very cool if digkam would get such a feature. And by the way, thanks for making digikam. My girlfriend and I use it since years, and it's been unvaluable for managing our photo collection.


References:
1 http://sourceforge.net/projects/opencvlibrary
2 http://libface.sourceforge.net/
3 http://idea.zanestate.edu/archives/2007/04/face-recognition-coming-to-f-spot/
4 http://bugzilla.gnome.org/show_bug.cgi?id=324391


Regards,
Christian Weiske
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[Arnd Baecker]

Hi Christian,

I think this is a very cool idea.
Could you please file a B.K.O. entry for this wish
(I would be surprised if this does not get many votes quickly ;-).

To try things out like this, the following approach might be possible
from an external script (digikam not running to have no problems
with the database)
- specify a folder for automatic tagging
- run over all images
- for each recognized tag, add this (if not yet present)
  to the database by the usual sql commands

BTW, how good are tools like this today, are they
able to recognize, rivers, lakes, sea, beach, sun, snow, flowers,
birds, ... (just for some of the typical tags ...)?
For birds an automatic recognition of the species would be
helpful (but maybe this is wishing too much ;-)

Best, Arnd

On Sat, 2 Jun 2007, Christian Weiske wrote:

> Hello,
>
>
> Reaching my personal 10.000 photos barrier in the next weeks, I face a problem:
> Tagging photos by hand is not doable anymore since it takes too much time. While setting tags for a whole album (france, wedding, 2007) is easy and fast to do, tagging each of the 200+ photos in an album with the people on it is impossible.
>
> When searching for photos, you often try to find a person - how it looked at a time, or generally need all photos of a certain person. Tags help here, but not all photos are tagged through the reason above. What I would like to see is a plugin that automatically detects faces and allows one to drag a tag from the tag tree on, or just add a tag to the detected face.
>
> There are some face detection and recognition libraries out there that could be used, one well-known is the Intel's OpenCV lib [1]. libFace [2] is another one that specializes in face rec/det and uses intel's lib internally.
>
> Gnome's F-Spot will get this feature trough the summer of code project [3, 4]. If it gets that, it'll be my personal killer feature to use fspot.
>
> It would be very cool if digkam would get such a feature. And by the way, thanks for making digikam. My girlfriend and I use it since years, and it's been unvaluable for managing our photo collection.
>
>
> References:
> 1 http://sourceforge.net/projects/opencvlibrary
> 2 http://libface.sourceforge.net/
> 3 http://idea.zanestate.edu/archives/2007/04/face-recognition-coming-to-f-spot/
> 4 http://bugzilla.gnome.org/show_bug.cgi?id=324391
>
>
> Regards,
> Christian Weiske
> _______________________________________________
> Digikam-users mailing list
> [hidden email]
> https://mail.kde.org/mailman/listinfo/digikam-users
>
>

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[Daniel Bauer-2]

On Samstag, 2. Juni 2007, Arnd Baecker wrote:

> Hi Christian,
>
> I think this is a very cool idea.
> Could you please file a B.K.O. entry for this wish
> (I would be surprised if this does not get many votes quickly ;-).
>
> To try things out like this, the following approach might be possible
> from an external script (digikam not running to have no problems
> with the database)
> - specify a folder for automatic tagging
> - run over all images
> - for each recognized tag, add this (if not yet present)
>   to the database by the usual sql commands
>
> BTW, how good are tools like this today, are they
> able to recognize, rivers, lakes, sea, beach, sun, snow, flowers,
> birds, ... (just for some of the typical tags ...)?
> For birds an automatic recognition of the species would be
> helpful (but maybe this is wishing too much ;-)
>
> Best, Arnd
>

An very important: I am sure, dentist would appreciate a tool with automatic
caries detection, at least on photos of laughing americans.

Or even better: just select the tags and then digiKam creates the images? Now,
this would be great :-)

sorry, could not resist...

Daniel

--
Daniel Bauer photographer Basel Switzerland
professional photography: http://www.daniel-bauer.com
erotic art photos: http://www.bauer-nudes.com/en/linux.html
Madagascar special: http://www.sanic.ch
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[Arnd Baecker]

On Sat, 2 Jun 2007, Daniel Bauer wrote:

[...]

> An very important: I am sure, dentist would appreciate a tool with automatic
> caries detection, at least on photos of laughing americans.
>
> Or even better: just select the tags and then digiKam creates the images? Now,
> this would be great :-)
>
> sorry, could not resist...

ROTFL - I really like your humour!!

Have a good week-end,

Arnd

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[Christian Weiske]

Arnd,


> Could you please file a B.K.O. entry for this wish
> (I would be surprised if this does not get many votes quickly ;-).
I did so, the URL is:
http://bugs.kde.org/show_bug.cgi?id=146288


--
Christian
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