A New Method for Cloud Data Reduction Using Uniform Grids

DOI

10.2991/icacsei.2013.16How to use a DOI?

Keywords

Reverse engineering, octree, angel between normal, k-nearest neighbors.

Abstract

Due to the continuous development of 3D scanning technology, the point cloud data is becoming more and more redundant. Storing or handling these data will consume a lot of time and computer resources. In this paper, a method for cloud data reduction based on 3D Grids is proposed. It includes searching k-nearest neighbors for constructing data topology, calculating tangent plane normal, sampling points using uniform 3D grids and selecting points that satisfy the requirements. The method retains more features than traditional methods, and it avoid the estimating of curvature. Experiments by different point cloud data using the proposed method and other methods show that the proposed method can reserve more minutiae while remove the redundant data.

Copyright

© 2013, 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/).

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TY  - CONF
AU  - San yuan Zhao
AU  - Fen xia Li
AU  - Yong mei Liu
AU  - Yong hui Rao
PY  - 2013/08
DA  - 2013/08
TI  - A New Method for Cloud Data Reduction Using Uniform Grids
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 64
EP  - 67
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.16
DO  - 10.2991/icacsei.2013.16
ID  - Zhao2013/08
ER  -