Bilinear Factor Matrix Norm Minimization for Robust PCA : Algorithms and Applications

The heavy-tailed distributions of corrupted outliers and singular values of all channels in low-level vision have proven effective priors for many applications such as background modeling, photometric stereo and image alignment. And they can be well modeled by a hyper-Laplacian. However, the use of...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 9 vom: 07. Sept., Seite 2066-2080
1. Verfasser: Shang, Fanhua (VerfasserIn)
Weitere Verfasser: Cheng, James, Liu, Yuanyuan, Luo, Zhi-Quan, Lin, Zhouchen
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.