{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pointview-gcn-3d-shape-classification-with","title":"POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDS","arxiv_id":null,"date":"2021-09-22","proceeding":"IEEE International Conference on Image Processing 2021 9","authors":["Seyed Saber Mohammadi","Yiming Wang","Alessio Del Bue"],"abstract":"We address 3D shape classification with partial point cloud inputs captured from multiple viewpoints around the object.\r\nDifferent from existing methods that perform classification on the complete point cloud by first registering multi-view capturing, we propose PointView-GCN with multi-level Graph Convolutional Networks (GCNs) to hierarchically aggregate\r\nthe shape features of single-view point clouds, in order to encode both the geometrical cues of an object and their multi-\r\nview relations. With experiments on our novel single-view datasets, we prove that PointView-GCN produces a more de-\r\nscriptive global shape feature which stably improves the classification accuracy by ∼ 5% compared to the classifiers with\r\nsingle-view point clouds, and outperforms the state-of-the-art methods with the complete point clouds on ModelNet40.","url_abs":"https://ieeexplore.ieee.org/abstract/document/9506426","url_pdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9506426","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pointview-gcn-3d-shape-classification-with","repo_url":"https://github.com/SMohammadi89/PointView-GCN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"3d-point-cloud-classification","task_name":"3D Point Cloud Classification"},{"task_slug":"3d-shape-retrieval","task_name":"3D Shape Classification"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"object","task_name":"Object"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}