{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:14:42Z","timestamp":1758672882056,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Point cloud classification is critical for three-dimensional scene understanding. However, in real-world scenarios, depth cameras often capture partial, single-view point clouds of objects with different poses, making their accurate classification a challenge. In this paper, we propose a novel point cloud classification network that captures the detailed spatial structure of objects by constructing tetrahedra, which is different from point-wise operations. Specifically, we propose a RISpaNet block to extract rotation-invariant features. A rotation-invariant property generation module is designed in RISpaNet for constructing rotation-invariant tetrahedron properties (RITPs). Meanwhile, a multi-scale pooling module and a hybrid encoder are used to process RITPs to generate integrated rotation-invariant features. Further, for single-view point clouds, a complete point cloud auxiliary branch and a part-whole correlation module are jointly employed to obtain complete point cloud features from partial point clouds. Experimental results show that this network performs better than other state-of-the-art methods, evaluated on four public datasets. We achieved an overall accuracy of 94.7% (+2.0%) on ModelNet40, 93.4% (+5.9%) on MVP, 94.7% (+6.3%) on PCN and 94.8% (+1.7%) on ScanObjectNN. Our project website is https:\/\/luxurylf.github.io\/RISpaNet_project\/.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/189","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"1693-1701","source":"Crossref","is-referenced-by-count":0,"title":["Rotation Invariant Spatial Networks for Single-View Point Cloud Classification"],"prefix":"10.24963","author":[{"given":"Feng","family":"Luan","sequence":"first","affiliation":[{"name":"Shanghai Research Institute for Intelligent Autonomous Systems"},{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiarui","family":"Hu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"},{"name":"College of Electronics and Information Engineering, Tongji University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changshi","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shanghai Research Institute for Intelligent Autonomous Systems"},{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhipeng","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"},{"name":"College of Electronics and Information Engineering, Tongji University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiguang","family":"Yue","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"},{"name":"College of Electronics and Information Engineering, Tongji University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanmin","family":"Zhou","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"},{"name":"College of Electronics and Information Engineering, Tongji University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"He","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University"},{"name":"Frontiers Science Center for Intelligent Autonomous Systems"},{"name":"College of Electronics and Information Engineering, Tongji University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:33:14Z","timestamp":1758627194000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/189"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/189","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}