Fuzzy Cluster-Based Group-Wise Point Set Registration With Quality Assessment
Author:
Affiliation:
1. Centre for Applied Autonomous Sensor Systems (AASS), Örebro University, Örebro, Sweden
Funder
VINNOVA through the Project TAMMP
FORMAS through the Project RoboClean
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/09999704.pdf?arnumber=9999704
Reference51 articles.
1. Scan registration for autonomous mining vehicles using 3D-NDT
2. UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
3. Fast and accurate scan registration through minimization of the distance between compact 3D NDT representations
4. Robust Point Set Registration Using Gaussian Mixture Models
5. 3DRegNet: A Deep Neural Network for 3D Point Registration
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