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	<title>NA-MIC/Projects/Structural/Shape Analysis/Correspondence - Revision history</title>
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		<title>Andy: Update from Wiki</title>
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		<updated>2006-12-18T19:32:48Z</updated>

		<summary type="html">&lt;p&gt;Update from Wiki&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Shape Correspondence Based on Local Curvature ==&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
&lt;br /&gt;
We are working on a correspondence method based on local curvature. This is a population based method (a la MDL or DetCov) that optimizes correspondence for a population, rather than pair-based. Currently we use the Koenderink measure C and S as our correspondence metric. However, the code is structured in such a way to enable very easy modification of the metric.&lt;br /&gt;
&lt;br /&gt;
=== Current Status &amp;amp; Plans for Project Week ===&lt;br /&gt;
&lt;br /&gt;
There still is plenty of room for improvements, but the code is working right now. We have tried it in a very small dataset for debugging, and the optimization seems to properly converge.&lt;br /&gt;
&lt;br /&gt;
We also tried on the caudate dataset, and it seemed to work properly, although we dont yet have a visualization method in place. This is one of the things we want to accomplish at Project Week: coming up with a nice visualization of the correspondence results with the KWMeshVisu tool that we developed at the previous programming week.&lt;br /&gt;
&lt;br /&gt;
We are also in contact with Tobias Heimann who is the original author of a large part of the ITK classes we are using, and we plan to make a combined submission with him to MICCAI open source workshop. The paper is also one of the major things that we want to work on during the week.&lt;br /&gt;
&lt;br /&gt;
=== Members ===&lt;br /&gt;
&lt;br /&gt;
* Ipek Oguz (UNC)&lt;br /&gt;
* Martin Styner (UNC)&lt;/div&gt;</summary>
		<author><name>Andy</name></author>
		
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