Advanced search
Publication Cover
Remote Sensing Letters Volume 15, 2024 - Issue 8
Submit an article Journal homepage
20
Views
0
CrossRef citations to date
0
Altmetric
Research Letter

Hierarchical channel-spatial interaction network for partial-to-partial point cloud registration

Xiao Lia Zoomlion Co. Ltd, Changsha, China;b National Key Laboratory of Lifting machinery Key Technology, Changsha, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2406-3781View further author information
ORCID Icon,
Lin Fua Zoomlion Co. Ltd, Changsha, China;b National Key Laboratory of Lifting machinery Key Technology, Changsha, ChinaView further author information
,
Yanbin Liua Zoomlion Co. Ltd, Changsha, China;b National Key Laboratory of Lifting machinery Key Technology, Changsha, ChinaView further author information
,
Jian Zhaoa Zoomlion Co. Ltd, Changsha, China;b National Key Laboratory of Lifting machinery Key Technology, Changsha, ChinaView further author information
&
Xiaodong Wanga Zoomlion Co. Ltd, Changsha, China;b National Key Laboratory of Lifting machinery Key Technology, Changsha, ChinaView further author information
Pages 762-772 | Received 16 Jan 2024, Accepted 02 Jun 2024, Published online: 08 Jul 2024

References

  • Aoki, Y., H. Goforth, R. A. Srivatsan, and S. Lucey. 2019. “PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet.” Proceedings CVPR, 7163C7172. Long Beach, CA, USA. https://doi.org/10.1109/CVPR.2019.00733.
  • Besl, P. J., and N. D. McKay. 1992. “A Method for Registration of 3d Shapes.” IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (2): 239–256. https://doi.org/10.1109/34.121791.
  • Charles, R. Q., H. Su, M. Kaichun, and L. J. Guibas. 2017. “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.” Proceedings CVPR, 77–85. Honolulu, HI, USA. https://doi.org/10.1109/CVPR.2017.16.
  • Fischer, K., M. Simon, S. Milz, and P. Mäder. 2024. “MagneticPillars: Efficient Point Cloud Registration Through Hierarchized Birds-Eye-View Cell Correspondence Refinement.” Proceedings WACV, Tucson, Arizona, USA, 7386–7395.
  • Fischler, M. A., and R. C. Bolles. 1981. “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.” Communications of the ACM 24 (6): 381–395. https://doi.org/10.1145/358669.358692.
  • Kim, J., J. Lee, M. Chung, and Y. G. Shin. 2021. “Multiple Weld Seam Extraction from RGB-Depth Images for Automatic Robotic Welding via Point Cloud Registration.” Multimedia Tools & Applications 80:9703–9719. https://doi.org/10.1007/s11042-020-10138-7.
  • Li, M., Q. Liu, and S. Peng. 2023. “Point Cloud Registration Based on Concave Hull Association.” Remote Sensing Letters 14 (3): 313–322. https://doi.org/10.1080/2150704X.2023.2195569.
  • Li, X., L. Lei, Y. L. Sun, M. Li, and G. Y. Kuang. 2020. “Collaborative Attention-Based Heterogeneous Gated Fusion Network for Land Cover Classification.” IEEE Transactions on Geoscience & Remote Sensing 59 (5): 3829–3845. https://doi.org/10.1109/TGRS.2020.3015389.
  • Liang, Z., Y. Guo, Y. Feng, W. Chen, L. Qiao, L. Zhou, J. Zhou, and H. Liu. 2019. “Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy.” IEEE Transactions on Pattern Analysis & Machine Intelligence 43 (1): 300–315. https://doi.org/10.1109/TPAMI.2019.2928550.
  • Quan, S., J. Ma, F. Hu, B. Fang, and T. Ma. 2018. “Local Voxelized Structure for 3D Binary Feature Representation and Robust Registration of Point Clouds from Low-Cost Sensors.” Information Sciences 444:153–171. https://doi.org/10.1016/j.ins.2018.02.070.
  • Rusu, R. B., N. Blodow, and M. Beetz. 2009. “Fast Point Feature Histograms (FPFH) for 3d Registration.” Proceedings ICRA, 3212–3217. Kobe, Japan. https://doi.org/10.1109/ROBOT.2009.5152473.
  • Sarode, V., X. Li, H. Goforth, Y. Aoki, R. A. Srivatsan, S. Lucey, and H. Choset. 2019. “Pcrnet: Point Cloud Registration Network Using Pointnet Encoding.” arXiv. https://arxiv.org/abs/1908.07906.
  • Wang, Y., and J. M. Solomon. 2019a. “Deep Closest Point: Learning Representations for Point Cloud Registration.” Proceedings ICCV, 3523C3532. Seoul, Korea. https://doi.org/10.1109/ICCV.2019.00362.
  • Wu, Z., S. Song, A. Khosla, F. Yu, L. Zhang, X. Zhang, and J. Xiao. 2015. “3D Shapenets: A Deep Representation for Volumetric Shapes.” Proceedings CVPR, 1912C1920. Boston, MA, USA. https://doi.org/10.1109/CVPR.2015.7298801.
  • Xu, H., S. Liu, G. Wang, G. Liu, and B. Zeng. 2021. “Omnet: Learning Overlapping Mask for Partial-To-Partial Point Cloud Registration.” Proceedings ICCV, 3132–3141. Montreal, QC, Canada. https://doi.org/10.1109/ICCV48922.2021.00312.
  • Xu, H., N. Ye, G. Liu, B. Zeng, and S. Liu. 2022. “FINet: Dual Branches Feature Interaction for Partial-To-Partial Point Cloud Registration.” Proceedings AAAI, 2848–2856. Vancouver, Canada. https://doi.org/10.1609/aaai.v36i3.20189.
  • Yang, J., H. Li, and Y. Jia. 2013. “Go-ICP: Solving 3d Registration Efficiently and Globally Optimally.” Proceedings ICCV, 1457C1464. Sydney, Australia. https://doi.org/10.1109/ICCV.2013.184.
  • Zheng, Y., Y. Li, S. Yang, and H. Lu. 2022. “Global-PBNet: A Novel Point Cloud Registration for Autonomous Driving.” IEEE Transactions on Intelligent Transportation Systems 23 (11): 22312–22319. https://doi.org/10.1109/TITS.2022.3153133.
  • Zhou, Q. Y., J. Park, and V. Koltun. 2016. “Fast Global Registration.” In Proceedings ECCV, 766C782. Cham: Springer. https://doi.org/10.1007/978-3-319-46475-6-47.
  • Zhou, R., X. Li, and W. Jiang. 2021. “SCANet: A Spatial and Channel Attention Based Network for Partial-To-Partial Point Cloud Registration.” Pattern Recognition Letters 151:120–126. https://doi.org/10.1016/j.patrec.2021.08.002.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.