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Fitting Geometrical Deformable Models to Registered Range Images

Großkopf, Stefan and Neugebauer, Peter J. (1998):
Fitting Geometrical Deformable Models to Registered Range Images.
In: Lecture Notes in Computer Science (LNCS); 1506, Springer, Berlin; Heidelberg; New York, In: 3D Structure from Multiple Images of Large-Scale Environments, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 1998
Creators: Großkopf, Stefan and Neugebauer, Peter J.
Title: Fitting Geometrical Deformable Models to Registered Range Images
Language: German
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.

Series Name: Lecture Notes in Computer Science (LNCS); 1506
Publisher: Springer, Berlin; Heidelberg; New York
Uncontrolled Keywords: Geometrically deformable models, Range images, Surface meshing, Surface reconstruction
Divisions: UNSPECIFIED
20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: 3D Structure from Multiple Images of Large-Scale Environments
Date Deposited: 16 Apr 2018 09:06
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