Point Cloud Registrational Computing Based on Hadoop

Song Liu; Xiao Yao Xie

doi:10.4028/www.scientific.net/AMM.644-650.4624

Paper Titles

A Novel Multi-Timescales Layered Intention Recognition Method
p.4607

Design and Implementation of Large-Scale Video Tracking Software System
p.4612

Foggy Port Surveillance Video Clearness Algorithm Based on Wavelet Packet Decomposition
p.4616

Algorithm of Video Decomposition and Video Abstraction Generation Based on Face Detection and Recognition
p.4620

Point Cloud Registrational Computing Based on Hadoop
p.4624

Nonlocal TV-L1 Inpainting Model and its Augmented Lagrangian Algorithm
p.4630

An Improved Multilevel Halftoning Algorithm Using Neighborhood Growing
p.4637

An Improved QIM Watermarking Algorithm
p.4641

The Application of Panoramic Technology in the Protection of Red Cultural Heritage
p.4645

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Point Cloud Registrational Computing Based on...

Point Cloud Registrational Computing Based on Hadoop

Abstract:

For the problem of huge computation and requiring high computing resource in point cloud registration, according to the theory of parallel computing, the algorithm of point cloud registration base on MapReduce is designed. Through building a Hadoop cluster consisted by average PCs, four examples have been tested. The experiment results show that point cloud registration algorithm based on MapReduce can register point cloud data with high accuracy.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4624-4629

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4624

Citation:

Cite this paper

Online since:

September 2014

Authors:

Song Liu*, Xiao Yao Xie

Keywords:

Hadoop, MapReduce, Parallel Computing, Point Cloud, Registration

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Zhu Yanjuan, Zhou Laishui, Zhang Liyan. Registration of Scattered Cloud Data. Journal of CAD&CG, 2006, 04: 475-481.

Google Scholar

[2] Hadoop[EB/OL]. [2011-12]. http: /hadoop. apache. org.

Google Scholar

[3] Jeffrey Dean. Experiences with MapReduce, an abstraction for large-scale computation. Proc. 15th International Conference on Parallel Architectures and Compilation Techniques, 2006.

DOI: 10.1145/1152154.1152155

Google Scholar

[4] Besl PJ, Mckay ND. A Method for Registration of 3-D Shapes. IEEE Transactions on PAMI. 1992, 14(2): 239-256.

Google Scholar

[5] Jonathan Campbell. Notes on Mathematics for 2D and 3D Graphics. Edition of 17. Letter Kenny Institute of Technology, (2007).

Google Scholar

[6] The Apache Software Foundation. Apache™ Hadoop®. [2013-04-23]. http: /hadoop. apache. org.

Google Scholar