DocumentCode
304743
Title
Marching triangles: range image fusion for complex object modelling
Author
Hilton, Adrian ; Stoddart, A.J. ; Illingworth, J. ; Windeatt, T.
Author_Institution
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
381
Abstract
A new surface based approach to implicit surface polygonisation is introduced. This is applied to the reconstruction of 3D surface models of complex objects from multiple range images. Geometric fusion of multiple range images into an implicit surface representation was presented in previous work. This paper introduces an efficient algorithm to reconstruct a triangulated model of a manifold implicit surface, a local 3D constraint is derived which defines the Delaunay surface triangulation of a set of points on a manifold surface in 3D space. The `marching triangles´ algorithm uses the local 3D constraint to reconstruct a Delaunay triangulation of an arbitrary topology manifold surface. Computational and representational costs are both a factor of 3-5 lower than previous volumetric approaches such as marching cubes
Keywords
computational complexity; image reconstruction; image representation; mesh generation; sensor fusion; 3D space; 3D surface model reconstruction; Delaunay surface triangulation; Delaunay triangulation reconstruction; complex object modelling; computational costs; geometric fusion; implicit surface polygonisation; implicit surface representation; local 3D constraint; manifold implicit surface; manifold surface; marching cubes; marching triangles algorithm; range image fusion; representational costs; surface based approach; volumetric approaches; Computational efficiency; Computational geometry; Constraint theory; Extraterrestrial measurements; Image fusion; Image reconstruction; Measurement uncertainty; Surface reconstruction; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560840
Filename
560840
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