PCL object recognition example #1
Comments
liewhnic
pushed a commit
that referenced
this issue
May 23, 2018
It contains the code and files to run an example of the PCL object recognition using point clouds.
liewhnic
added a commit
that referenced
this issue
May 23, 2018
Changes applied as suggested in http://www.pcl-users.org/problem-with-cluod-uniform-sampling-header-td4040685.html Example offered by PCL works fine with these changes.
liewhnic
pushed a commit
that referenced
this issue
Jun 6, 2018
It is desired that the recognition of objects is made from geometric characteristics. Then, the run example of random sample consensus provided by PCL is added.
liewhnic
pushed a commit
that referenced
this issue
Jun 8, 2018
Filtering is required to eliminate the unnecesary data from PCD. The example here provided uses statistical outlier removal filter.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Type of issue
Introduction
Provides an example of use and configure for the object recognition with PCL. This very example was taken from PCL website.
Context
There are plenty examples in the PCL documentation page, and they bring the code and files required for do this. But the objective of this issue is to ease the process of configuration and use for future users.
Expected result
An easy to use and configure PCL object recognition example.
Labels
run exampleThe text was updated successfully, but these errors were encountered: