Another thought. There is nothing 'special' about the thin-plate splines in
the sense that they are not based on any particular biological model. On the
other hand they that the important property of describing a difference
between two shapes as a smooth deformation. Smoothness is important because
that means that there will not be some bend in the deformation unless there
is some displacement of landmarks that requires it.  As an extreme
alternative, one could use some polynomial function (like an early
suggestion of fitting a trend surface). Such functions are notorious for
implying deformations out beyond any of the data points used to define the
function. That is clearly not desirable. It would be better to have a model
but if one does not have a model then one would like to use the smoothest
possible functions that can account for the observed differences in shape
and do not impose structure where there is no evidence for a shape change.

--------------------
F. James Rohlf, Distinguished Professor
SUNY Stony Brook, NY 11794-5245
www: life.bio.sunysb.edu/ee/rohlf

 

> -----Original Message-----
> From: morphmet [mailto:[EMAIL PROTECTED] 
> Sent: Friday, December 03, 2004 1:03 AM
> To: morphmet
> Subject: Re: Why Thin-Plate Splines?
> 
> 
> > 
> > Thin-plate splines is a special case of RBF, in the sense 
> that there 
> > is an RBF kernel function
> > (r^2 log r, or something like that) which will give you the TPS 
> > solution.
> > 
> > In one sense, the TPS minimizes second-order differentials. 
> It might 
> > be argued that this is the simplest curvature measure. 
> Certainly, you 
> > could use other kernel functions to minimize third-order 
> differentials 
> > or anything else, and this certainly has many applications, 
> but this 
> > whole concept of minimizing curvature has no intrinsic biological 
> > meaning, and we just need something relatively simple that we can 
> > discuss and understand easily.
> 
> Thanks! I love simple and direct answers ;-)
> 
> > Another thing is that morphometricians have developed a 
> large toolbox 
> > of useful analysis methods based on the TPS (bending 
> energies, partial 
> > and relative warps, etc.). No similar theory and methods have been 
> > developed for other kernel functions.
> 
> I've heard of those i.e. partial and relative warps. Please 
> shed some light on them.
> 
> Thanks again,
> 
> Olumide
> (email: [EMAIL PROTECTED])
> 
> PS: Do you mean that the use of TPS in the morphometrics just 
> as a matter of habit?
> 
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> 

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