>   Tomas Musil (a student of mine), has created a state-of-the-art open
> source Go board optical recognition software.  We have focused on
> completely automatic runs, so it automatically detects the board corners
> and then the stones on the board, and the precision seems pretty good
> at least in reasonable lighting conditions.
> 
>   My personal dream would be if we added video capability and further
> improved speed + reliability in time for EGC2015 (in Czech Republic)
> and were able to deploy it there to transfer large number of top boards.
> But this will depend on how much time Tomas will have after the summer
> (and we didn't actually check with EGC2015 organizers yet), so it's
> still more of just a dream.  

Hello mr. Baudis!
Musil's work is remarkable indeed. I and my fellow colleague, prof. Mario
Corsolini, studied the thesis and found it of the greatest interest, both on
the theoretical side and the practical one. BTW, Musil seems to believe that
"we have not found any other work that we can meaningfully compare our
results with"; but since november 2012 we have developed and distributed
PhotoKifu, a program aimed to reconstruct whole Go games by means of a
series of photograph. We're now releasing version 2.1 (a paper is also in
progress) and are working on version 2.5, which will implement Open CV
instead of the external (and slow) suite Image Magick. We're also working on
VideoKifu, a program that will reconstruct a game from a live video feed; we
could not develop VideoKifu before because of the slow Image Magick suite,
but Open CV will allow that.
At the moment (version 2.1) we achieve on single pictures the same - very
good - results Musil got, and take 1 to 4 seconds for picture depending on
its size. But our program is optimized for whole games, for which we have
100% stones recognition, even in the presence of hands and whole arms
between the camera and the goban (of course the stones we're looking for
must still be visible), given the pictures are not too small (I estimate at
least 1024 x 768). That requires about 1/10 of second for each picture plus
image optimization either by Image Magick or Open CV.
Of course, we too are interested in EGC 2015. We hoped to attend the
scientific conference at EGC 2013, but could not find reliable informations.
Maybe Musil will now be able to contact EGC 2015's organizers and catch
their interest: it would be a remarkable feat if we could both go and talk
about (and, of course, demonstrate) two programs making use of different
approaches. For the moment we're planning to do such a thing during the big
international Pisa tournament at the beginning of March, but the EGC 2015
would be the ideal stage.
Let us know if you're interested, of course!

mr. Andrea Carta, BSc(IT)


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