On Minimizing the Probability of Large Errors in Robust Point Cloud Registration
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Ben Gurion University, Beer Sheva, Israel
Funder
Israel Innovation Authority
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/8782710/9006934/10345750.pdf?arnumber=10345750
Reference31 articles.
1. Fast Point Feature Histograms (FPFH) for 3D registration
2. Intrinsic shape signatures: A shape descriptor for 3D object recognition
3. Scale-Invariant Features for 3-D Mesh Models
4. Fully Convolutional Geometric Features
5. 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
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