Reconstructing power cables from LIDAR data using eigenvector streamlines of the point distribution tensor field
Date issued
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
Starting from the computation of a covariance matrix
of neighborhoods in a point cloud, streamlines are utilized
to reconstruct lines of linearly distributed points
following the major Eigenvector of the matrix. This
technique is similar to fiber tracking in diffusion tensor
imaging (DTI), but in contrast is done mesh-free.
Different weighting functions for the computation of
the matrix and for the interpolation of the vector in the
point cloud have been implemented and compared on
artificial test cases. A dataset stemming from light detect
and ranging (LIDAR) surveying served as a testbed
for parameter studies where, finally, a power cable was
reconstructed.
Description
Subject(s)
vizualizace dat, tenzor napětí, částicové systémy, shluk bodů, kovarianční matice, sledování vlákna
Citation
Journal of WSCG. 2012, vol. 20, no. 3, p. 223-230.