Surface reconstruction technology from dense scattered points based on grid

Authors:
Jianzhou Feng;Lingfu Kong;Xiaohuan Wang
Affiliations:
School of Information Science and Engineering, Yanshan University, QinHuangDao, China;School of Information Science and Engineering, Yanshan University, QinHuangDao, China;School of Information Science and Engineering, Yanshan University, QinHuangDao, China
Venue:
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Year:
2009

Citing 4
Cited 0

Large-Scale Data Visualization Using Parallel Data Streaming

IEEE Computer Graphics and Applications
Surface reconstruction of freeform objects based on multiresolution volumetric method

SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
MPICH-G2: a Grid-enabled implementation of the Message Passing Interface

Journal of Parallel and Distributed Computing - Special issue on computational grids
Projective clustering and its application to surface reconstruction: extended abstract

Proceedings of the twenty-second annual symposium on Computational geometry

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to improve the speed of surface reconstruction from densely scattered points, and reduce the application cost, this paper describes a new and fast surface reconstruction method based on grid computing. The proposed method converts large-scale unorganized 3D scanned datasets into layered datasets firstly. Then based on data parallel mechanism, a loosely coupled parallel reconstruction algorithm is designed; the algorithm has less inter-node communication, so that it is more suitable for grid computing. In order to realize load balance in grid, the priority preemptive scheduling strategy is designed based on two-level scheduling model. Finally, the grid environment is built by Globus Toolkit, and the parallel reconstruction and visualization are achieved based on mpich-G2 and the Visualization Toolkit (VTK), this experiment shows that the reconstruction time is reduced significantly.