DocumentCode
2628671
Title
Mesh construction from non-uniformly distributed and noisy 3D points recovered from image sequence
Author
Atmosukarto, Indriyati ; Leow, Wee Kheng ; Huang, Zhiyong ; Zhang, Yong ; Sung, Kah Kay
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore
fYear
2000
fDate
2000
Firstpage
423
Lastpage
424
Abstract
This paper describes a novel method for constructing triangle meshes from noisy and non-uniformly distributed 3D points. It consists of two steps: noise point removal uses a clustering algorithm and epipolar constraint method to identify and remove noise points from the 3D points; and a constructive polygonization algorithm interpolates cleaned 3D points to construct a triangle mesh of the object
Keywords
computational geometry; computer graphics; image sequences; interpolation; mesh generation; clustering algorithm; constructive polygonization algorithm; epipolar constraint method; image sequence; interpolation; mesh construction; noise point removal; noisy 3D points; nonuniformly distributed 3D points; triangle meshes; Background noise; Cameras; Clustering algorithms; Distributed computing; Drives; Eigenvalues and eigenfunctions; Equations; Image sampling; Image sequences; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Applications, 2000. Proceedings. The Eighth Pacific Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-0868-5
Type
conf
DOI
10.1109/PCCGA.2000.883976
Filename
883976
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