“LiDAR VR Viewer” is an Android application freely available on the Google Play Store which dives the user into a virtual reality made of 3D point clouds surfaces. It stands as an affordable VR experience with the use of simple head-mounted displays such as Google cardboard while offering a possible navigation into the data by the mean of a bluetooth controller.
UPDATE: 3D point clouds can now be rendered as spheres or surfels
A part of my PhD works is now available in the last release of the open source platform Computree.
This wiki gives an overview of the computational steps implemented.
Departing from traditional tree models made of cylinders (in green in the figures below), sharper models (in blue in the figures below) can be computed. Expressed as a continuous surface, they describe better the shape to assess precisely the tree properties.
The 3D samples and the surface model of a tropical tree can be visualize here
Sequence of processing steps: modeling of the terrain surface, detection of the tree stem, then estimation of the tree model.
3D model of a Mangrove tree (Avicennia germinans Copyright A. Olagoke and C. Proisy, 2014, IRD UMR AMAP)
Mesh model of an evergreen sub tropical tree (Erytrophleum fordii) based on SimpleTree.
1 – Load a colored point cloud in CloudCompare
2 – Use its PCV plugin to compute the ambient occlusion of the point cloud. Save the resulting point cloud as a ASCII file.
3 – Use the following command to apply the ambient occlusion to the RGB values :
awk ‘{ print $1 ” ” $2 ” ” $3 ” ” int($4*$7) ” ” int($5*$7) ” ” int($6*$7) }’ input.xyz >> output.xyz
