A Novel Pre-Processing Approach of Point Cloud in Reverse Engineering

Abstract:

In reverse engineering, data pre-processing has played an increasingly important role for rebuilding the original 3D model. However, it is usually complex, time-consuming, and difficult to realize, as there are huge amounts of redundant 3D data existed in the gained point cloud. To find a solution for this issue, point cloud data processing and streamlining technologies are reviewed firstly. Secondly, a novel pre-processing approach is proposed in three steps: point cloud registration, regional 3D triangular mesh construction and point cloud filtering. And then, the projected hexagonal area and the closest projected point are defined. At last, a parabolic antenna model is employed as a case study. After pre-processing, the number of points are decreased from 4,066,282 to 449,806 under the constraint of triangular grid size h equaling to 2mm, i.e. about 1/9 size of the original point cloud. The result demonstrates its feasibility and efficiency.

• Periodical: Applied Mechanics and Materials (Volume 331)
• Pages: 631-635
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.331.631
• Online since: July 2013
• Authors: Ci Zhang, Guo Fan Hu, Xu Bing Chen
• Keywords: Closest Projected Point, Point Cloud, Pre-Processing, Projection Set, Triangular Mesh

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