The formulae are also in Landmark methods for forms without landmarks:
morphometrics of group differences in outline shape, 
Medical Image Analysis, Volume 1, Issue 3, April 1997, Pages 225-243
Fred L. Bookstein available from www.sciencedirect.com if you have
access.

Code and an algorithm are available from
http://www.magic-software.com/Interpolation.html. 
The .pdf file entitled Thin Plate Splines on that page gives the
algorithm and the names of the necessary files to download.

To the best of my understanding a spline in 3D only considers bending
energy in one direction, assuming corresponding landmarks to have the
same positions with respect to the other two coordinates.  To optimise
the positions of semilandmarks  the operation is implemented 3 times,
i.e., in each direction.  I am also unaware of what effective
visualisations could be taken from such an analysis.  
Best regards,
  Ben Flood ([EMAIL PROTECTED])

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Sent: 01 October 2003 13:43
To: [EMAIL PROTECTED]
Subject: Re: 3D Thin Plane Spline


The relevant formulae are in Bookstein (1991) Morphometric Tools for
Landmark Data: Geometry and Biology. Cambridge University Press (and
other places). The only difference for 3D is U(r) = |r| and obvious
adjustments to matrix sizes, etc. The more difficult problem is
generating effective visualizations in 2D of volumetric transformations.

-ds

On Wed, 2003-10-01 at 08:16, [EMAIL PROTECTED] wrote:
> Dear Morphometricians:
> I need to program a 3D Thin Plane Spline analysis routine.
> I would like information on this algorithm to program it from scratch.
> Best regards
> 
> ==
> Replies will be sent to list.
> For more information see
http://life.bio.sunysb.edu/morph/morphmet.html.
-- 
Dennis E. Slice, Ph.D.
Department of Biomedical Engineering
Wake Forest University School of Medicine
Winston-Salem, North Carolina, USA 
27157-1022
Phone: 336-716-5384
Fax: 336-716-2870
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