Other than field of view, what parameters are able to produce wrong results that have lower total error than any correct result?
If I understand correctly, that is the major reason for wanting limits. But in case I've misunderstood: In many other optimization problems hard limits are used to speed up optimization and/or keep it out of non convergence areas (where derivative based optimization sees a wrong direction and/or the error function might be NaN) even though those bad areas hold no false solutions. Is that also a significant issue in hugin? I still think a more stable objective function is a better idea than limits for solving the basic problem. But for discussing the value limits might have, I'd like to understand what aspect (if any) is general across many parameters, vs. what is specific to field of view. -- A list of frequently asked questions is available at: http://wiki.panotools.org/Hugin_FAQ --- You received this message because you are subscribed to the Google Groups "hugin and other free panoramic software" group. To unsubscribe from this group and stop receiving emails from it, send an email to hugin-ptx+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/hugin-ptx/5859837c-4aba-4633-bc47-02cdcdf69e5cn%40googlegroups.com.
