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Proceedings Paper

Extraction of features from 3D laser scanner cloud data
Author(s): Vincent H. Chan; Colin H. Bradley; Geoffrey W. Vickers
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Paper Abstract

One of the road blocks on the path of automated reverse engineering has been the extraction of useful data from the copious range data generated from 3-D laser scanning systems. A method to extract the relevant features of a scanned object is presented. A 3-D laser scanner is automatically directed to obtain discrete laser cloud data on each separate patch that constitutes the object's surface. With each set of cloud data treated as a separate entity, primitives are fitted to the data resulting in a geometric and topologic database. Using a feed-forewarn neural network, the data is analyzed for geometric combinations that make up machine features such as through holes and slots. These features are required for the reconstruction of the solid model by a machinist or feature based CAM algorithms, thus completing the reverse engineering cycle.

Paper Details

Date Published: 10 December 1997
PDF: 7 pages
Proc. SPIE 3204, Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III, (10 December 1997); doi: 10.1117/12.294457
Show Author Affiliations
Vincent H. Chan, Univ. of Victoria (Canada)
Colin H. Bradley, Univ. of Victoria (Canada)
Geoffrey W. Vickers, Univ. of Victoria (Canada)


Published in SPIE Proceedings Vol. 3204:
Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III
Kevin G. Harding; Donald J. Svetkoff, Editor(s)

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