记录：PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
本文融合点云和视图数据，来进行3D的形状识别。 总体示意图： 1.主要贡献为两个方面： （1）利用点云和每个单一视图之间的相关性（相关指数，或者说相关性评分）来指导来自点云的特征和来自视图的特征的融合； （2）提出两种联系方式来融合二者：分别是point-single-view和point-multi-view. 详细流程如下： 2.关注于相关性评分模块，将点云特征和每一个视图特征投入到一个多层感
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相关文章
- 1. Relation-Shape Convolutional Neural Network for point cloud analysis
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- 3. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 4. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 5. 《GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition》
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