A graph-based approach for simultaneous semantic and instance segmentation of plant 3d point clouds

HIGHLIGHTS

• who: Katia Mirande and collaborators from the Beijing Academy of Agricultural and Forestry Sciences, China Donghua University, China have published the research work: A graph-based approach for simultaneous semantic and instance segmentation of plant 3D point clouds, in the Journal: (JOURNAL)
• what: The authors propose a method that automatically and quickly segments a plant 3D point cloud into labelled instances corresponding to the organs of the plant, with an overall guarantee of the botanical correctness of the segmented result. The authors also use the Laplacian matrix in the approach , but the authors show that . . .
  

   

  

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