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Re: Registration of 3D shells? [message #30731] Wed, 15 May 2002 15:31 Go to next message
Craig Markwardt is currently offline  Craig Markwardt
Messages: 1869
Registered: November 1996
Senior Member
"Dick Jackson" <dick@d-jackson.com> writes:

> Hi all,
>
> I'd like to know if anyone has any experience to share on registration of 3D
> shells. That is, if you have two IDLgrPolygons (or Surfaces) that are
> 'snapshots' of the surface of an object, which:
...

Hi Dick--

Are these 2d or 3d data sets? When you say surface that could be an
isosurface within a 3d data volume, or simple the surface z = f(x,y)
of a 2d data set.

I think registration of 2d data sets is commonly done with a cross
correlation.

Craig

--
------------------------------------------------------------ --------------
Craig B. Markwardt, Ph.D. EMAIL: craigmnet@cow.physics.wisc.edu
Astrophysics, IDL, Finance, Derivatives | Remove "net" for better response
------------------------------------------------------------ --------------
Re: Registration of 3D shells? [message #30815 is a reply to message #30731] Thu, 16 May 2002 08:25 Go to previous message
Dick Jackson is currently offline  Dick Jackson
Messages: 347
Registered: August 1998
Senior Member
"Craig Markwardt" <craigmnet@cow.physics.wisc.edu> wrote in message
news:onptzxkpqu.fsf@cow.physics.wisc.edu...
>
> "Dick Jackson" <dick@d-jackson.com> writes:
>
>> Hi all,
>>
>> I'd like to know if anyone has any experience to share on registration
of 3D
>> shells. That is, if you have two IDLgrPolygons (or Surfaces) that are
>> 'snapshots' of the surface of an object, which:
> ...
>
> Hi Dick--
>
> Are these 2d or 3d data sets? When you say surface that could be an
> isosurface within a 3d data volume, or simple the surface z = f(x,y)
> of a 2d data set.
>
> I think registration of 2d data sets is commonly done with a cross
> correlation.

Yes, they are generally like a z = f(x,y) surface, in that a surface doesn't
wrap around behind itself. With some datasets we have regular (x,y),
sometimes not.

As I understand it, cross correlation could find the best x-y translation
with regular (x,y), but we have rotation and translation in 3D to contend
with. My solution will need 6 parameters, can cross correlation help out
here?

Thanks for your interest!

Cheers,
--
-Dick

Dick Jackson / dick@d-jackson.com
D-Jackson Software Consulting / http://www.d-jackson.com
Calgary, Alberta, Canada / +1-403-242-7398 / Fax: 241-7392
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