A package for flexible point cloud data handling.
using FixedSizeArrays
using PointClouds
# Create positions of 3D Vec coordinates
positions = [Vec(i,-i,1.0) for i = 1:10]
# Create a PointCloud from positions
cloud = PointCloud(positions)
# Create new intensity attributes
cloud[:intensity] = collect(1:10)
# Create capture time for each point sample
cloud[:time] = [time() for i = 1:10]
# Find low intensity points
low_intensity_cloud = cloud[cloud[:intensity] .< 5]
# Find vector of time stamps per point
t = low_intensity_cloud[:time]
# Find points within 5 units of [1,1,1]
nearby = cloud[inrange(cloud, [1,1,1], 5.0)]The aim here is to have a point cloud data structure with arbitrary per-point attributes, spatial lookup, basic IO and various utility functions.
From an attribute access and manipulation point of view, a PointCloud is very
much like a DataFrame. Perhaps one day PointCloud can be implemented in
terms of an underlying DataFrame, but at this stage the DataFrames package
has a naturally strong focus on statistical computation, which seems somewhat at
odds with the geometrically local spatial computation which one often wants with
a point cloud.