Implementing pointnet for point cloud segmentation in the heritage context

HIGHLIGHTS

• who: Bulent Haznedar from the different functions and optimizers can be used in deep learning networksIn this study, Adam optimizer and ReLu activation function were used in the training of the model. HBIM data consist of , structures with , rooms and , restitution structures. Data augmentation processes applied to increase the number of data and improve system performance are mentioned in the following sections. D objects belonging to HBIM data and images of these objects after segmentation are shown in Fig., . Laser scan data is named RGB data, and the result of the trained network is expressed as segmented . . .
  

   

  

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