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Handbook of Robust Low-Rank and Sparse Matrix Decomposition : Applications in Image and Video Processing /

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Bouwmans, Thierry (Editor), Aybat, Necdet Serhat (Editor), Zahzah, El-hadi (Editor)
Format: eBook
Language:English
Published: Chapman and Hall/CRC, 2016.
Subjects:
Matrix analytic methods.
Image processing > Mathematical models.
Computer vision > Mathematical models.
Méthodes d'analyse matricielle.
Traitement d'images > Modèles mathématiques.
Vision par ordinateur > Modèles mathématiques.
TECHNOLOGY & ENGINEERING > Imaging Systems.
MATHEMATICS > Graphic Methods.
Computer vision > Mathematical models
Image processing > Mathematical models
Matrix analytic methods
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Part 1. Robust principal component analysis
  • part 2. Robust matrix factorization
  • part 3. Robust subspace learning and tracking
  • part 4. Applications in image and video processing
  • part 5. Applications in background/foreground separation for video surveillance.