multidim.PointCloud.cover_ball

PointCloud.cover_ball(point_index=None)

Find a ball that covers the entire PointCloud.

Parameters:

point_index : int

If point_index is given, we use that point as the center. If point_index is None (default), then we compute the point neareast the center-of-mass, which requires an extra numpy.mean() and scipy.spatial.distance.cdist() call.

Returns:

ball : dict with keys ‘index’ (index of designated center point),

‘point’ (coordinates of designated center point), and ‘radius’ (radius

of ball)