Double nuclear norm-based robust principal component analysis for image disocclusion and object detection

Title
Double nuclear norm-based robust principal component analysis for image disocclusion and object detection
Authors
Keywords
Low rank, Nuclear norm, Robust principal component analysis, Image disocclusion, Background modelling
Journal
NEUROCOMPUTING
Volume 205, Issue -, Pages 481-489
Publisher
Elsevier BV
Online
2016-05-13
DOI
10.1016/j.neucom.2016.03.077

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More