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Sparse-to-Dense Matching Network for Large-scale LiDAR Point Cloud Registration Journal article
Lu,Fan, Chen,Guang, Liu,Yinlong, Zhan,Yibing, Li,Zhijun, Tao,Dacheng, Jiang,Changjun. Sparse-to-Dense Matching Network for Large-scale LiDAR Point Cloud Registration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(9), 11270-11282.
Authors:  Lu,Fan;  Chen,Guang;  Liu,Yinlong;  Zhan,Yibing;  Li,Zhijun; et al.
Favorite | TC[WOS]:9 TC[Scopus]:12  IF:20.8/22.2 | Submit date：2023/08/03
Cloud Computing  Correspondence  Feature Extraction  Feature Matching  Filtering  Laser Radar  Lidar  Optimal Transport  Pipelines  Point Cloud Compression  Point Cloud Registration  Rigid  Sparse-to-dense  Three-dimensional Displays  
DSD-MatchingNet: Deformable Sparse-to-Dense Feature Matching for Learning Accurate Correspondences Journal article
Zhao, Yicheng, Zhang, Han, Lu, Ping, Li, Ping, Wu, Enhua, Sheng, Bin. DSD-MatchingNet: Deformable Sparse-to-Dense Feature Matching for Learning Accurate Correspondences[J]. Virtual Reality and Intelligent Hardware, 2022, 4(5), 432-443.
Authors:  Zhao, Yicheng;  Zhang, Han;  Lu, Ping;  Li, Ping;  Wu, Enhua; et al.
Favorite | TC[Scopus]:5