A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation

CVPR 2018 Riccardo RoveriLukas RahmannCengiz OztireliMarkus Gross

We propose a novel neural network architecture for point cloud classification. Our key idea is to automatically transform the 3D unordered input data into a set of useful 2D depth images, and classify them by exploiting well performing image classification CNNs... (read more)

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