Feature Consistent Point Cloud Registration in Building Information Modeling
Author:
Affiliation:
1. School of Computer Science and Engineering, Nanjing University of Science and Technology, China
2. Ubisoft La Forge, France
3. Panasonic R&D Center Singapore, Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589572.3589578
Reference46 articles.
1. PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
2. Trajectory Following using Nonlinear Model Predictive Control and 3D Point-Cloud-based Localization for Autonomous Driving
3. Herbert Bay . 2006 . Luc Van Gool , SURF: Speeded-Up Robust Features. In Proceedings of the 9th European Conference on Computer Vision , 2006. Herbert Bay. 2006. Luc Van Gool, SURF: Speeded-Up Robust Features. In Proceedings of the 9th European Conference on Computer Vision, 2006.
4. Paul J Besl and Neil D McKay. 1992. Method for registration of 3-D shapes. In Sensor fusion IV: control paradigms and data structures Vol. 1611. Spie 586–606. Paul J Besl and Neil D McKay. 1992. Method for registration of 3-D shapes. In Sensor fusion IV: control paradigms and data structures Vol. 1611. Spie 586–606.
5. PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
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