SN-Graph: A Minimalist 3D Object Representation for Classification

@article{Zhang2021SNGraphAM,
  title={SN-Graph: A Minimalist 3D Object Representation for Classification},
  author={Siyu Zhang and Hui Cao and Yuqi Liu and Shen Cai and Yanting Zhang and Yuanzhan Li and Xiaoyu Chi},
  journal={2021 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2021},
  pages={1-6}
}
  • Siyu ZhangH. Cao Xiaoyu Chi
  • Published 31 May 2021
  • Computer Science
  • 2021 IEEE International Conference on Multimedia and Expo (ICME)
Using deep learning techniques to process 3D objects has achieved many successes. However, few methods focus on the representation of 3D objects, which could be more effective for specific tasks than traditional representations, such as point clouds, voxels, and multi-view images. In this paper, we propose a Sphere Node Graph (SN-Graph) to represent 3D objects. Specifically, we extract a certain number of internal spheres (as nodes) from the signed distance field (SDF), and then establish… 

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