The paper performs a comparative benchmark of nine 3D correspondence grouping methods on three application benchmarks under multiple perturbations.
A novel repre- sentation and feature matching algorithm for automatic pairwise registration of range images
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching
The paper performs a comparative benchmark of nine 3D correspondence grouping methods on three application benchmarks under multiple perturbations.