Dense graph convolutional neural networks on 3D meshes for 3D object segmentation and classification

作者：

Highlights：

• A novel graph data structure for representing 3D mesh data.

• A novel densely connected graph convolutuional neural network for 3D meshes.

• 3D object segmentation and classification.

摘要

•A novel graph data structure for representing 3D mesh data.•A novel densely connected graph convolutuional neural network for 3D meshes.•3D object segmentation and classification.

论文关键词：3D meshes,Graph neural network,Densely connected,Classification,Segmentation

论文评审过程：Received 10 June 2021, Revised 23 July 2021, Accepted 30 July 2021, Available online 12 August 2021, Version of Record 16 August 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2021.104265