[Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文解读
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (CVPR 2017) 须要解决的问题：设计了一种新的能够直接处理点云，而且与点云输入顺序无关的网络，该网络模型能够用于处理物体分类、场景分割和场景语义分析。 这个问题的难点：点云格式是不规则的格式，以前有方法尝试转化成体素或者图像来分析。htm
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相关文章
- 1. 论文阅读：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文笔记
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- 4. Deep Learning on Point Sets for 3D Classification and Segmentation
- 5. 2020.09.27读 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 6. 《PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation》点网解析
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