Robust Partial-to-Partial Point Cloud Registration in a Full Range
Author:
Affiliation:
1. S-Lab, Nanyang Technological University, Singapore
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10409903/10417124.pdf?arnumber=10417124
Reference49 articles.
1. DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
2. L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
3. Robust 6D Object Pose Estimation by Learning RGB-D Features
4. Deep Closest Point: Learning Representations for Point Cloud Registration
5. PRNet: Self-supervised learning for partial-to-partial registration;Wang,2019
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