Finally, the point cloud needs to be split into object-related measurements, i.e., 3D segmentation is needed. We approach these problems using novel deep learning methodology based on normalized CNNs and 3D fusion of deep 2D segmentations, as well as probabilistic modelling.
Finally, the point cloud needs to be split into object-related measurements, i.e., 3D segmentation is needed. We approach these problems using novel deep learning methodology based on normalized CNNs and 3D fusion of deep 2D segmentations, as well as probabilistic modelling.