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Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior Journal article
Li, Xinyi, Ma, Zijian, Liu, Yinlong, Zimmer, Walter, Cao, Hu, Zhang, Feihu, Knoll, Alois. Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 14(8), 1-18.
Authors:  Li, Xinyi;  Ma, Zijian;  Liu, Yinlong;  Zimmer, Walter;  Cao, Hu; et al.
Favorite | TC[Scopus]:0  IF:20.8/22.2 | Submit date：2024/09/03
Rigid Point Cloud Registration  Screw Theory  Gravity Direction  Robust Estimation  Consensus Maximization  Branch-and-bound  Interval Stabbing  
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