On 17 August 2010 22:46, Yuval Levy <[email protected]> wrote:

> Some sort of control point detection should be run before even considering
> type of lens, focal distance, crop factor, to validate such inputs / defaults.

When the type of lens is unknown, it would be useful to rerun the
optimisation using a different lens type and compare the error
distances. This could be done automatically, though ideally we would
have a nice lens database that just knew all this stuff.

> At the detection level detect first for time-adjacent pictures rather than
> blindly across the board.  This will yield more information to make better
> estimates:
> - if there are groups of disconnected pictures, it is likely to be a multi-row
> project with "carriage return" between rows (but it could also be multiple set
> of unrelated panoramas)
> - if the sequence is all connected, it is likely to be either a single-row
> project or a "snake pattern" multi-row

> Same thing with the optimizer:  an "auto" mode should not just make a single
> optimization run, but rather a multi-staged approach:  first optimize for
> positions only.  Then check if the images at one end overlap images at the
> other end.

These are approximately the steps of the existing 'multi-row'
control-point detection, it is slow at the moment because it relies on
the XML keypoint-file caching of autopano-sift-C. The new panomatic
code will be more efficient with this caching.

-- 
Bruno

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