PointNet - Analysis

[NicolaBernini]

Overview

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Arxiv: https://arxiv.org/abs/1612.00593

GitHub: https://github.com/charlesq34/pointnet

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Analysis of PointNet : a DNN designed to work directly on Point Cloud Data to solve tasks like Classification, Parts Segmentation and Semantic Segmentation

[NicolaBernini]

Comparison with other Approaches

• Other approaches working on Point Cloud typically require a pre-processing step to transform it into 3D Voxel or RGB-like Image hence a WxHxC Tensor but this kind of strategy has some limitations
  • it increases the Data to Process as the target data structures are more dense than the original Point Cloud
  • it requires some inductive bias at the pre-processing step (manually engineered features, manually set hyperparam) which can be suboptimal or at least not as good as the data learned ones