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Fitting Geometrical Deformable Models to Registered Range Images

Großkopf, Stefan ; Neugebauer, Peter J. (1998)
Fitting Geometrical Deformable Models to Registered Range Images.
3D Structure from Multiple Images of Large-Scale Environments.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper we present a method for the adapting a geometrical deformable model (GDM) for reconstruction of real-world objects from multiple range images. Our approach registers the range images simultaneously, carves out an immediate volume and finally generates an accurate, sparse triangle mesh. The proposed GDM scheme refines an initial roughly approximated mesh by deformation and adaptive subtriangulation. Even in the case of very large data sets our approach presents an efficient method of surface reconstruction due to adaptive improvement to the desired degree of accuracy. Since the root mean square approximation error of each triangle is minimized in an iterative procedure, the mesh quality is higher than that of previous approaches.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 1998
Autor(en): Großkopf, Stefan ; Neugebauer, Peter J.
Art des Eintrags: Bibliographie
Titel: Fitting Geometrical Deformable Models to Registered Range Images
Sprache: Deutsch
Publikationsjahr: 1998
Verlag: Springer, Berlin; Heidelberg; New York
Reihe: Lecture Notes in Computer Science (LNCS); 1506
Veranstaltungstitel: 3D Structure from Multiple Images of Large-Scale Environments
Kurzbeschreibung (Abstract):

In this paper we present a method for the adapting a geometrical deformable model (GDM) for reconstruction of real-world objects from multiple range images. Our approach registers the range images simultaneously, carves out an immediate volume and finally generates an accurate, sparse triangle mesh. The proposed GDM scheme refines an initial roughly approximated mesh by deformation and adaptive subtriangulation. Even in the case of very large data sets our approach presents an efficient method of surface reconstruction due to adaptive improvement to the desired degree of accuracy. Since the root mean square approximation error of each triangle is minimized in an iterative procedure, the mesh quality is higher than that of previous approaches.

Freie Schlagworte: Geometrically deformable models, Range images, Surface meshing, Surface reconstruction
Fachbereich(e)/-gebiet(e): nicht bekannt
20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 16 Apr 2018 09:06
Letzte Änderung: 16 Apr 2018 09:06
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