[Image-SIG] feature detection/location in images

Guy K. Kloss g.kloss at massey.ac.nz
Tue Jul 14 06:37:21 CEST 2009

On Tue, 14 Jul 2009 15:31:14 Kevin Cazabon wrote:
> I don't need to find specific features, but need to find a small set  
> of distinct features consistently in similar images (for aligning them  
> together).  I can brute-force this with min/max values/etc, but was  
> hoping for some help on something more elegant and efficient.  Any  
> pointers would be appreciated, thanks!

I've accomplished something similar using OpenCV functions that correlate a 
template to an area and return a matrix of correlation ratings. Then finding 
in the matrix the extreme value (max or min depending on the function) you can 
find your "best match".

Currently I'd advise the ctypes-opencv bindings by Minh-Tri Pham to use the 
code from Python. It's quite speedy and works well, just need to play a bit 
with the functions to find out which works best for your case.



Guy K. Kloss
Institute of Information and Mathematical Sciences
Te Kura Pūtaiao o Mōhiohio me Pāngarau
Massey University, Albany (North Shore City, Auckland)
473 State Highway 17, Gate 1, Mailroom, Quad B Building
voice: +64 9 414-0800 ext. 9585   fax: +64 9 441-8181
G.Kloss at massey.ac.nz http://www.massey.ac.nz/~gkloss

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