3D Reconstruction of Scattered Point-cloud Using RBF

DOI

10.2991/icmse-15.2015.306How to use a DOI?

Keywords

point-cloud, Principal component analysis algorithm, radial basis function

Abstract

Reverse engineering is an important way to transmit information in modern manufacture technology. Reverse engineering technology widely applied in the automobile and aviation industry. Surface reconstruction of scattered point-cloud is a key part in the operation process of reverse engineering. Firstly, the dissertation analyzed the local attributes of the scattered point-cloud and researched the normal vector evaluation and direction consistency with the principal component analysis algorithm. Secondly, the implicit surface reconstruction algorithm is analyzed and compared, the radial basis function is chosen as the reconstruction method, and the 3D reconstruction of scattered point-cloud is realized. The algorithm not only reduces the time and space requirements of surface fitting, but also repairs the hole in the point-cloud.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chengjun Tian
AU  - Qinglong Yan
AU  - Chenjie Zhang
PY  - 2015/12
DA  - 2015/12
TI  - 3D Reconstruction of Scattered Point-cloud Using RBF
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1680
EP  - 1684
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.306
DO  - 10.2991/icmse-15.2015.306
ID  - Tian2015/12
ER  -