Slippage Features

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Show simple item record Bokeloh, Martin de_DE Berner, Alexander de_DE Wand, Michael de_DE Seidel, Hans-Peter de_DE Schilling, Andreas de_DE 2008-06-11 de_DE 2014-03-18T10:18:44Z 2008-06-11 de_DE 2014-03-18T10:18:44Z 2008 de_DE
dc.identifier.other 286878720 de_DE
dc.identifier.uri de_DE
dc.description.abstract In this report, we present a novel feature detection technique for unstructured point clouds. We introduce a generalized concept of geometric features that detects locally uniquely identifiable keypoints as centroids of area with locally minimal slippage. We extend the concept to multiple scales and extract features using multi-scale mean shift clustering. In order to validate matches between feature points, we employ a two stage technique that first sorts out unlikely matches, followed by an approximate alignment between remaining features by a rotational cross-correlation analysis and a local iterative closest point (ICP) registration. The resulting residuals are then used as final similarity measure. The proposed combination of techniques results in a robust and reliable correspondence detection technique that yields registration results in situations where previous techniques are not able to detect usable feature correspondences. We provide a detailed empirical analysis of the method, and apply the technique to global registration, symmetry detection and deformable matching problems. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri de_DE
dc.rights.uri en
dc.subject.classification Computergraphik , Oberflächenanalyse , Registrierung de_DE
dc.subject.ddc 004 de_DE
dc.subject.other Merkmalextraktion , Korrespondenzproblem de_DE
dc.subject.other Geometryprocessing , Keypoints , Matching , Registration en
dc.title Slippage Features en
dc.type Report de_DE 2012-10-11 de_DE
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fachbereich Sonstige/Externe de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
utue.publikation.fakultaet 9 Sonstige / Externe de_DE
dcterms.DCMIType Text de_DE
utue.publikation.typ report de_DE 3388 de_DE
utue.opus.portal wsi de_DE
utue.opus.portalzaehlung 2008.03000 de_DE
utue.publikation.source WSI ; 2008 ; 3 de_DE
utue.publikation.reihenname WSI-Reports - Schriftenreihe des Wilhelm-Schickard-Instituts für Informatik de_DE
utue.publikation.zsausgabe 2008, 3
utue.publikation.erstkatid 2919855-0


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