Registration Algorithm for Three-Dimensional Point Cloud Data

Li Lun Huang; Wen Guo Li; Qi Le Yang; Ying Chun Chen

doi:10.4028/www.scientific.net/AMM.741.237

Paper Titles

Design and Simulation of Injection Mold for the Digital Camera Shell Based on Moldflow
p.215

Finite Element Analysis of Automobile Drive Axle Housing Based on ANSYS
p.223

Machining Simulation for Centrifugal Impeller Based on Modelling of Five-Axis Machining Center
p.227

Numerical Simulation of the Influence of Gear Rotation Speed on the Gear Pump Flow Field
p.232

Registration Algorithm for Three-Dimensional Point Cloud Data
p.237

Research on the Optimization of Spring System Based on Virtual Prototyping
p.241

The Computer Room Modeling and Data Display Based on Three Dimensional Visualization
p.248

The Construction of Finite Element Model of Invisible Appliance of Inhomogeneous Thickness by Reverse Engineering Technology
p.254

The Design of Curler for Irregular Metal Lid Based on Pro/E
p.258

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 741Registration Algorithm for Three-Dimensional Point...

Registration Algorithm for Three-Dimensional Point Cloud Data

Abstract:

The principle of registration of the 3D point cloud data and the current algorithms are compared, and ICP algorithm is chosen since its fast convergence speed, high precision, and simple objective function. On the basis of ICP algorithm, singular value decomposition and four-array method are analysed by programming program, and all the mathematical algorithms is transformed into programming language by Matlab software.

You might also be interested in these eBooks

Engineering Solutions for Manufacturing Processes V

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 741)

Pages:

237-240

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.741.237

Citation:

Cite this paper

Online since:

March 2015

Authors:

Li Lun Huang*, Wen Guo Li, Qi Le Yang, Ying Chun Chen

Keywords:

ICP, Point Cloud Data, Registration, Singular Value Decomposition

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Besl P J, Mckay N D: A method for registration of 3-D shapes, IEEE Transactions on Pattem Analysis Machine Intelligence, Vol. 14 (1992), p.239.

Google Scholar

[2] Chua C S, Jarvis R, Point signatures: a new representation for 3D object recognition, Intemational Journal of computer Vision, Vol. 25 (1997), p.63.

Google Scholar

[3] Ko KH, Maekawa T, Patrikalakis NM: An algorithm for optimal free-form object matching, Computer-Aided Design, Vol. 35 (2003), p.913.

DOI: 10.1016/s0010-4485(02)00205-1

Google Scholar

[4] Besl P J, McKay N D: A method for registration of 3-D shapes: Trans．PAMI, Vol. 14 (1992), p.239.

Google Scholar

[5] S. Rusinkiewicz and M．Levoy: Efficient variants of the ICP algorithm, In Proceedings of the Third International Conference on 3D Digital Imaging and Modellling (3DIM'0 1), (2001).

Google Scholar

[6] P. Neugebauer: Geometrical Cloning of 3D Objects via Simulataneous Registration of Multiple Range Images, In Proceedings of the Fourth Symposium on Solid Modeling. and Applications(SMA'97), (1997).

DOI: 10.1109/sma.1997.634890

Google Scholar

[7] G Blais and D．Levine: Registration Multiview Range Data to Create 3D Computer 0bjects, IEEE Transaction on Pattern Analysis and Machine Intelligence(PAMI), (1995).

DOI: 10.1109/34.400574

Google Scholar

[8] Rosen holm D, Torelegard K: Three-dimensional absolute orientation of stereo models using digital elevation models, Photo-grammetric Engineering and Remote Sensing, Vol. 54 (1998), p.1385.

Google Scholar

[9] Li Q, Griffiths J G: Iterative closest geometric objects registration, Computers and Mathematics with Applications, Vol. 40 (2000), p.1171.

DOI: 10.1016/s0898-1221(00)00230-3

Google Scholar