Classification of Point Cloud Scenes with Multiscale Voxel Deep Network

10 Apr 2018  ·  Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette ·

In this article we describe a new convolutional neural network (CNN) to classify 3D point clouds of urban or indoor scenes. Solutions are given to the problems encountered working on scene point clouds, and a network is described that allows for point classification using only the position of points in a multi-scale neighborhood. On the reduced-8 Semantic3D benchmark [Hackel et al., 2017], this network, ranked second, beats the state of the art of point classification methods (those not using a regularization step).

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Results from the Paper


Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Semantic Segmentation Semantic3D MSDeepVoxNet mIoU 65.3% # 11

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