Considering the characteristics that point cloud data obtained by laser scanning system has the same coordinate values in
some dimension, the triangular B-B surfaces reconstruction technique is proposed. For the preprocessing of the initial
point cloud, the points that don't belong to the surface are deleted, and the methods of splitting, sorting and slicing are
used. The least square non-uniform B-Spline method is used to smooth and interpolate the section point cloud data, then
the data of reconstructed surface can be achieved after a secondary sampling. An example of the mouse is given to testify
that the method is effective and feasible.

Triangular B-B surfaces reconstruction based on point cloud of laser scanner

On the basis of analyzing the characteristics of the point cloud from line-structure light scanning, the algorithms of data reduction for measured data were discussed, which include data reduction for base plane and chord-angular deviation. Optimizing criterions of scattered data based on Delaunay triangulation and Liang's method of constructing triangular meshes between two scanning lines were introduced, and an ameliorating algorithm of triangulation was proposed, which was triangulation for line-structure scanned data based on optimizing criterions of Delaunay triangulation. The result of data handling for rearview mirror of motorcycle shows that the algorithm is efficient and feasible. 12figs.,11refs.

Data Reduction and Triangulation of Point Cloud Based on Line-Structure Light Scanning

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Data Reduction and Triangulation of Point Cloud Based on Line-Structure Light Scanning