Rank: 835 based on 84 downloads (last 30 days) and 1 file submitted
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Student of Biomedical Engineering

Professional Interests:
medical image analysis

 

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24 Jul 2011 Screenshot Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm icp, iterative closest poi..., bestfit 84 13
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4.7 | 7 ratings
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18 Nov 2011 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm

Hello ucd puri,

in your case, Matlab complaints about the following line (226 in icp.m):
[~, idx] = sort(mindist);
This is probably due to the fact that older versions of Matlab don't understand the tilde (~) as a way of discarding a certain output variable. You can either update to a newer version of Matlab or use a dummy output (you will have to do this at several places inside the code), e.g.:
[dummy, idx] = sort(mindist);

Regards,
Jakob

05 Nov 2011 K nearest neighbor search Lightning fast k nearest neighbor search, yet very simple. Author: Michael Chen

This implementation of brute force nearest neighbor search is quite fast for small data sets of high dimensionality. In many other cases however, KDTreeSearcher and ExhaustiveSearcher in Matlabs Statistics Toolbox is faster.

12 Oct 2010 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm

For kDtree matching, the Statistics Toolbox v. 7.3 is needed.

12 Aug 2010 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm

Thank you for your interest. The missing function (rms_error.m) has now been added.

Comments and Ratings on Jakob's Files View all
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18 Nov 2011 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm puri, ucd

Many Thanks- this was very helpful. Kind Regards.

18 Nov 2011 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm Wilm, Jakob

Hello ucd puri,

in your case, Matlab complaints about the following line (226 in icp.m):
[~, idx] = sort(mindist);
This is probably due to the fact that older versions of Matlab don't understand the tilde (~) as a way of discarding a certain output variable. You can either update to a newer version of Matlab or use a dummy output (you will have to do this at several places inside the code), e.g.:
[dummy, idx] = sort(mindist);

Regards,
Jakob

18 Nov 2011 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm puri, ucd

Hi Jakob
I am getting the following error when I run demo file. Any suggestions. many thanks.
------------------------------
??? Error: File: icp.m Line: 226 Column: 11
Expression or statement is incorrect--possibly unbalanced (, {, or [.

Error in ==> demo at 57
[Ricp Ticp ER t] = icp(M, D, 15);
-------------------------------------

18 Nov 2011 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm Chun-Hsiang , Huang
18 Nov 2011 Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm Axel

Posted the comment to quickly. The argument checking seems to be fine. It is coherent with the rest of the code.

Sorry for the confusion

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icp, iterative closest point
Files Tagged by Jakob
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24 Jul 2011 Screenshot Iterative Closest Point An implementation of various ICP (iterative closest point) features. Author: Jakob Wilm icp, iterative closest poi..., bestfit 84 13
  • 4.66667
4.7 | 7 ratings

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