====== Point Cloud Measurements =======


The goal of this exercise is to demonstrate to the user how to measure objects using the point cloud of a run. The user will be able to perform measurements using different techniques: "Closest Point", "Flat Surface Intersection" and "Ridges and Corners Intersection", as well as save the results in a vector dataset. 

  * Relevant for : 3DM Feature Extraction, 3DM Content Manager, 3DM Publisher
  * Product use for recording : 3DM Feature Extraction Standard 18.1.1
===== Preparations =====

=== Reference documentation ===

  * [[180:technology:3d_mapping:measure_pointcloud|]]
  * [[180:desktop:preferences:3dhover|]]
  * [[180:desktop:map:3d_measurements|]]

  
=== Preceding Exercises ===  

  * [[exercises:desktop:create_dataset|]]
  * [[exercises:desktop:forward_intersection|]] 

=== Resources ===

  * CA Toronto\MMS Orbit Runs
===== Exercise =====

 Extract objects using different techniques.

  - Add run \\ Add the run CA Toronto by Optech.
  - Measurements  \\ Measure one pole using "Closest Point" technique, choose "Point Height to ground" tool.
  - Measurements  \\ Measure one pole using "Flat Surface Intersection" technique, choose "Point drop to Ground" tool.  
  - Measurements \\ Measure one side of the road using "Ridges and Corners Intersection" technique and choose for the "Free Line" tool.
===== Results =====

{{  :exercises:desktop:exercise_pointcloud_measurem0.png?nolink  |}}

{{  :exercises:desktop:exercise_pointcloud_measurem1.png?nolink&800  |}}

{{  :exercises:desktop:exercise_pointcloud_measurem2.png?nolink&800  |}}

{{  :exercises:desktop:exercise_pointcloud_measurem3.png?nilink&800  |}}