Handbook of Robust Low-Rank and Sparse Matrix Decomposition (häftad)
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Format
E-bok
Filformat
EPUB med LCP-kryptering (0.0 MB)
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Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Antal sidor
536
Utgivningsdatum
2016-05-27
Förlag
CRC Press
ISBN
9781315353531

Handbook of Robust Low-Rank and Sparse Matrix Decomposition E-bok

Applications in Image and Video Processing

av Thierry Bouwmans, Necdet Serhat Aybat, El-Hadi Zahzah
E-bok (LCP),  Engelska, 2016-05-27
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Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniques.Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion saliency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance.With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining.
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