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Robust synchronization in SO(3) and SE(3) via low-rank and sparse matrix decomposition

Arrigoni, Federica
•
Rossi, Beatrice
•
Fragneto, Pasqualina
•
Fusiello, Andrea
2018
  • journal article

Periodico
COMPUTER VISION AND IMAGE UNDERSTANDING
Abstract
This paper deals with the synchronization problem, which arises in multiple 3D point-set registration and in structure-from-motion. The problem is formulated as a low-rank and sparse matrix decom- position that caters for missing data, outliers and noise, and it benefits from a wealth of available decomposition algorithms that can be plugged-in. A minimization strategy, dubbed R-GoDec, is also proposed. Experimental results on simulated and real data show that this approach offers a good trade-off between resistance to outliers and speed.
DOI
10.1016/j.cviu.2018.08.001
WOS
WOS:000454184700009
Archivio
http://hdl.handle.net/11390/1145816
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85053605435
http://www.elsevier.com/inca/publications/store/6/2/2/8/0/9/index.htt
Diritti
open access
Soggetti
  • Absolute rotation

  • Global registration

  • Global rotation

  • Low-rank & sparse mat...

  • Matrix completion

  • Robust principal comp...

  • Structure-from-motion...

  • l1-Regularization

  • Software

  • Signal Processing

Scopus© citazioni
20
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
34
Data di acquisizione
Mar 28, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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