Uniform and competency-based 3d keypoint detection for coarse registration of point clouds with homogeneous structure

HIGHLIGHTS

• who: Fariborz Ghorbani and collaborators from the Geomatics Engineering Faculty, KNToosi University of Technology, Tehran, Iran have published the paper: Uniform and Competency-Based 3D Keypoint Detection for Coarse Registration of Point Clouds with Homogeneous Structure, in the Journal: (JOURNAL)
• what: In this research, the optimal features are selected using a feature selection approach, and the 3D environment is analyzed using a supervised classification method.
• how: In this research the Octree algorithm is utilized to generate an appropriate spatial distribution in keypoint detection. The secondary data were simulated to create the co-registration . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.