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.
With the growing availability of depth cameras and lidar, the processing of the resulting point clouds has become its own sub-area of Computer Vision.
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.