GPU Local Triangulation: an interpolating surface reconstruction algorithm

A GPU capable method for surface reconstruction from unorganized point clouds without additional information, called GLT (GPU Local Triangulation), is presented. The main objective of this research is the generation of a GPU interpolating reconstruction based on local Delaunay triangulations, inspir...

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Vydáno v:Computer graphics forum Ročník 27; číslo 3; s. 807 - 814
Hlavní autoři: Buchart, C., Borro, D., Amundarain, A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.05.2008
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ISSN:0167-7055, 1467-8659
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Shrnutí:A GPU capable method for surface reconstruction from unorganized point clouds without additional information, called GLT (GPU Local Triangulation), is presented. The main objective of this research is the generation of a GPU interpolating reconstruction based on local Delaunay triangulations, inspired by a pre‐existing reconstruction algorithm. Current graphics hardware accelerated algorithms are approximating approaches, where the final triangulation is usually performed through either marching cubes or marching tetrahedras. GPU‐compatible methods and data structures to perform normal estimation and the local triangulation have been developed, plus a variation of the Bitonic Merge Sort algorithm to work with multi‐lists. Our method shows an average gain of one order of magnitude over previous research.
Bibliografie:istex:70956335D4C83400631104AAF0F3D2B40BA675A3
ArticleID:CGF1211
ark:/67375/WNG-BPBC10MS-B
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2008.01211.x