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HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
[article]
2019
arXiv
pre-print
View-based approach that recognizes 3D shape through its projected 2D images achieved state-of-the-art performance for 3D shape recognition. One essential challenge for view-based approach is how to aggregate the multi-view features extracted from 2D images to be a global 3D shape descriptor. In this work, we propose a novel feature aggregation network by fully investigating the relations among views. We construct a relational graph with multi-view images as nodes, and design relational graph
arXiv:1908.10098v1
fatcat:mvf4f7z7mzeltadlfjo2wdir6y