Multi-level 3D CNN for Learning Multi-scale Spatial Features

30 May 2018Sambit GhadaiXian LeeAditya BaluSoumik SarkarAdarsh Krishnamurthy

3D object recognition accuracy can be improved by learning the multi-scale spatial features from 3D spatial geometric representations of objects such as point clouds, 3D models, surfaces, and RGB-D data. Current deep learning approaches learn such features either using structured data representations (voxel grids and octrees) or from unstructured representations (graphs and point clouds)... (read more)

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