features from point cloud [closed]
Hello,
I am using ROS, 3D point clouds and inverse reinforcement learning for navigation tasks. I was wondering which would be some good features to use (that can be extracted from 3D point clouds) So far I'm using the basic ones, i.e., surface normals, surface curvature, and PFH.
Any idea would be really helpful.