Shape preserving data reduction for 3D surface points

Ma, Xinhui; Cripps, Robert J.

Abstract

In reverse engineering, vast amounts of point data captured by certain types of scanners significantly increase the complexity and reduce the efficiency in downstream activities, such as surface modelling and manufacturing. Data reduction has therefore become an important issue. A new data reduction algorithm for surface points is developed to preserve the original shape using an error metric based on a Hausdorff distance of principal curvature vectors. The performance of the proposed method is illustrated by its application to a test surface and an industrial surface.

Citation

Ma, X., & Cripps, R. J. (2011). Shape preserving data reduction for 3D surface points. Computer aided design, 43(8), 902-909. https://doi.org/10.1016/j.cad.2011.03.006

• Journal Article Type: Article
• Acceptance Date: Mar 25, 2011
• Online Publication Date: Apr 5, 2011
• Publication Date: 2011-08
• Deposit Date: Apr 12, 2019
• Journal: CAD Computer Aided Design
• Print ISSN: 0010-4485
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 43
• Issue: 8
• Pages: 902-909
• DOI: https://doi.org/10.1016/j.cad.2011.03.006
• Keywords: Data reduction; Shape preserving; Hausdorff distance; Principal curvature vector
• Public URL: https://hull-repository.worktribe.com/output/1582478
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0010448511000789