Accurate Registration of Cross-Modality Geometry via Consistent Clustering

Author:

Zhao Mingyang1ORCID,Huang Xiaoshui2ORCID,Jiang Jingen3,Mou Luntian4,Yan Dong-Ming3ORCID,Ma Lei5ORCID

Affiliation:

1. Beijing Academy of Artificial Intelligence and the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, CAS, Beijing, China

2. Shanghai AI Laboratory, Shanghai, China

3. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) and NLPR, Institute of Automation, Chinese Academy of Sciences, and the School of AI, UCAS, Beijing, China

4. Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China

5. Beijing Academy of Artificial Intelligence, the Institute for Artificial Intelligence and the National Biomedical Imaging Center, Peking University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multimodal data integration for oncology in the era of deep neural networks: a review;Frontiers in Artificial Intelligence;2024-07-25

2. FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion;IEEE Robotics and Automation Letters;2024-02

4. A Novel Sketch-Based Framework Utilizing Contour Cues for Efficient Point Cloud Registration;IEEE Transactions on Geoscience and Remote Sensing;2023

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