[argyllcms] Re: [argyllcms] Re: rspl weights

  • From: "Gerhard Fuernkranz" <nospam456@xxxxxx>
  • To: argyllcms@xxxxxxxxxxxxx
  • Date: Fri, 29 Jul 2005 16:26:38 +0200 (MEST)

> --- Ursprüngliche Nachricht ---

> Hope this helps answer your question.

Thanks, this is basically what I expected - sum of weighted *squared* errors
+ smoothness term.

Btw, my understanding of thin plate splines (TPS) is, that the scattered
data are basically fitted by a sum of N radial basis functions (r^2*ln(r)),
each of the RBFs centered at one of the N scattered data points (plus
optional linear/polynomial terms and an optional smoothness term). Does this
apply to RSPLs as well, or are there some differences? Does the RSPL grid
simply represent a resampling of the TPS at regular intervals? And is my
assumption correct, that the spline_interp() method does not use the TPS for
interpolation, but only the scattered data fitting involves TPS?

Thank you,
Gerhard

-- 
Gerhard Fuernkranz
nospam456@xxxxxx

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