KDTree in slam

# Authors:
# Guillaume Auzias <guillaume.auzias@univ-amu.fr>
# Julien Barrès <julien.barres@etu.univ-amu.fr>

# License: BSD (3-clause)
# sphinx_gallery_thumbnail_number = 2

Importation of slam modules

import slam.io as sio

mesh = sio.load_mesh("../examples/data/example_mesh.gii")

kdtree serves to compute distances to mesh vertices efficiently here we compute the distance between a vector of two points and the mesh

distance, index = mesh.kdtree.query([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]])
distance
index

Out:

array([2132, 2132])