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<pubDate>Thu, 21 Aug 2008 14:21:31 BST</pubDate>


	<title>CiteULike: tmolinier's gauss</title>
	<description>CiteULike: tmolinier's gauss</description>


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<item rdf:about="http://www.citeulike.org/user/tmolinier/article/576734">
    <title>Gaussian fields: a new criterion for 3D rigid registration</title>
    <link>http://www.citeulike.org/user/tmolinier/article/576734</link>
    <description>&lt;i&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;This paper introduces a new and simple criterion forrig# reg-ITzBAxU based on Gaussian #elds. The criterion is always di#erentiable and convex in alarg neigxBAxqU# of thealig-TIx parameters;allowing for the use of well-proven optimization techniques.Using this method we can extend the size of thereg#z ofconvergAxz so that no close initialization is needed, thus overcoming local convergxBA problems of Iterative Closest PointalgB#I#TzB Furthermore, the Gaussianenerg function can...</description>
    <dc:title>Gaussian fields: a new criterion for 3D rigid registration</dc:title>

    <dc:creator>Faysal Boughorbel</dc:creator>
    <dc:creator>Andreas Koschan</dc:creator>
    <dc:creator>Besma Abidi</dc:creator>
    <dc:creator>Mong Abidi</dc:creator>
    <dc:date>2006-04-05T12:36:41-00:00</dc:date>
    <prism:category>gauss</prism:category>
    <prism:category>registration</prism:category>
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<item rdf:about="http://www.citeulike.org/user/tmolinier/article/439363">
    <title>Gaussian energy functions for registration without correspondences</title>
    <link>http://www.citeulike.org/user/tmolinier/article/439363</link>
    <description>&lt;i&gt;Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, Vol. 3 (2004), pp. 24-27 Vol.3.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A new criterion based on Gaussian fields is introduced and applied to the task of automatic rigid registration of point-sets. The method defines a simple energy function, which is always differentiable and convex in a large neighborhood of the alignment parameters; allowing for the use of powerful standard optimization techniques. We show that the size of the region of convergence can be extended so that no close initialization is needed, thus overcoming local convergence problems of iterative closest point algorithms. Furthermore, the Gaussian energy function can be evaluated with the linear complexity using the fast Gauss transform, which permits efficient implementation of the registration algorithm. Analysis through several experimental results on real world datasets shows the practicality and points out the limits of the approach.</description>
    <dc:title>Gaussian energy functions for registration without correspondences</dc:title>

    <dc:creator>F Boughorbel</dc:creator>
    <dc:creator>A Koschan</dc:creator>
    <dc:creator>B Abidi</dc:creator>
    <dc:creator>M Abidi</dc:creator>
    <dc:source>Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, Vol. 3 (2004), pp. 24-27 Vol.3.</dc:source>
    <dc:date>2005-12-16T09:59:36-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on</prism:publicationName>
    <prism:volume>3</prism:volume>
    <prism:startingPage>24</prism:startingPage>
    <prism:endingPage>27 Vol.3</prism:endingPage>
    <prism:category>gauss</prism:category>
    <prism:category>registration</prism:category>
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<item rdf:about="http://www.citeulike.org/user/tmolinier/article/439359">
    <title>gaussian field : a new criterion for 3D rigid registration</title>
    <link>http://www.citeulike.org/user/tmolinier/article/439359</link>
    <description>&lt;i&gt;Pattern Recognition, Vol. 37 (February 2004), pp. 1567-1571.&lt;/i&gt;</description>
    <dc:title>gaussian field : a new criterion for 3D rigid registration</dc:title>

    <dc:creator>Faysal Boughorbel</dc:creator>
    <dc:creator>Andreas Koschan</dc:creator>
    <dc:creator>Besma Abidi</dc:creator>
    <dc:creator>Mongi Abidi</dc:creator>
    <dc:source>Pattern Recognition, Vol. 37 (February 2004), pp. 1567-1571.</dc:source>
    <dc:date>2005-12-16T09:41:38-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Pattern Recognition</prism:publicationName>
    <prism:volume>37</prism:volume>
    <prism:startingPage>1567</prism:startingPage>
    <prism:endingPage>1571</prism:endingPage>
    <prism:category>3d</prism:category>
    <prism:category>gauss</prism:category>
    <prism:category>registration</prism:category>
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