Posted by
Stephan Saalfeld on
Dec 03, 2009; 1:22pm
URL: http://imagej.273.s1.nabble.com/SURF-tp3688524p3688526.html
Nope---it's the sign of the Hessian trace which is used to speed up
matching in SURF.
SURF is another scale invariant feature detection and description scheme
that is supposed to be simpler, faster and better than SIFT. I am very
happy to see that implemented and, to play with it, wrapped
it into a Plugin similar to those for SIFT/MOPS. Find that in an
experimental branch `ImageJ_SURF' of Fiji:
git checkout -b ImageJ_SURF origin/ImageJ_SURF
./Build.sh
./fiji
I wrote to the author and he will look at that and tell more during the
coming days. I hope to see it integrated in Fiji soon :)
Best,
Stephan
On Thu, 2009-12-03 at 12:47 +0100, Szilvi Mezey wrote:
> Gabriel, I'm guessing red is above threshold, blue is under threshold.
>
> Szilvi Mezey
>
> 2009/12/2 Gabriel Landini <
[hidden email]>
>
> > The new jar for feature detection for ImageJ:
> >
http://labun.com/imagej-surf/> > seems quite interesting (I wonder if this is related to the SIFT
> > features?).
> >
> > However despite the nice screenshots, there is no information at all on the
> > meaning of the results.
> > I guess the yellow lines indicate the size and orientation of a box
> > surrounding the features, but what do the dot colours (red and blue) mean?
> > Thanks for any pointers.
> >
> > Gabriel
> >
> >