Hi all,

I have taken some time in the last few days and continued my work on on 
a patent free control point detection algorithm, which I haven't had 
time to continue since I started it in March 2009.

I have taken panomatic as base, as it is a relatively clean code base 
(compared to the others), and implemented a new descriptor based on the 
geometric blur and DAISY papers. This is a relatively simplistic (and 
very cheap to compute) descriptor, and its probably not as powerful as 
the original SURF descriptor. I'm still using a small part of the SURF 
algorithm to estimate the orientation of the interest point, so it is 
not 100% patent free yet, but I hope to replace that part in the future.

I have further modularized the panomatic source code and added a new 
program called keypoints, which can be use to compute the descriptors 
only (similar to generatekeys from autopano-sift). The main panomatic 
executable now also supports loading of these files instead of 
recomputing them based on the images. This is mainly useful for testing 
and some more advanced control point finding strategies.

The code lives in a bzr repository on launchpad:
https://code.launchpad.net/~pablo.dangelo/hugin/panomatic-lib

See the README file on how to build and use it. It is not tested on many 
panos yet, and might or might not work.

I'm interested in feedback to see how well it works with typical panos.

Note that it can't properly handle fisheye images (like the original 
panomatic). It might be possible to use it with match-n-shift, but I 
haven't tried that yet.

ciao
   Pablo

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