Hi all,

This description is correct. Note that align_image_stack was really 
written more like a proof of concept and is not really well optimized. 
Actually, the implementation of the normalized cross correlation in 
hugin is very basic and thus quite slow. Replacing it with a properly 
optimized version (I believe opencv has a nicely optimized correlator) 
would make both align_image_stack and the fine tune functionality much 
faster.

ciao
   Pablo

Bruno Postle wrote
> On Thu 28-May-2009 at 07:52 -0700, Tom Sharpless wrote:
>> So align_image_stack does use local correlations, then generates CP's
>> as a way of communicating the required alignment to other tools?
> 
> It generates control points because it uses the hugin optimiser to 
> do the alignment (which is also why it accepts projection and field 
> of view parameters).
> 
>> Is this done in such a way as to allow some warping as well as simple
>> shifting in the final alignment step?
> 
> The alignment uses the usual roll, pitch, yaw and fov distortion.
> 
>> That is, are the CP's based only or mainly on local shifts?
> 
> No idea, the image is divided up into a grid and a feature detector 
> tries to place an even distribution of points over the image area.
> 
> In practice, with the -p option it behaves like a control point 
> generator that only works with stacked photos, but which produces 
> very few 'bad' points and which works very well with large exposure 
> differences.
> 


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