By Thierry Bouwmans,Necdet Serhat Aybat,El-hadi Zahzah
Handbook of strong Low-Rank and Sparse Matrix Decomposition: functions in photo and Video Processing indicates you ways strong subspace studying and monitoring through decomposition into low-rank and sparse matrices supply an appropriate framework for machine imaginative and prescient functions. Incorporating either latest and new rules, the e-book with ease grants one-stop entry to a few various decompositions, algorithms, implementations, and benchmarking techniques.
Divided into 5 elements, the ebook starts with an total creation to strong critical part research (PCA) through decomposition into low-rank and sparse matrices. the second one half addresses strong matrix factorization/completion difficulties whereas the 3rd half makes a speciality of strong on-line subspace estimation, studying, and monitoring. overlaying functions in photograph and video processing, the fourth half discusses picture research, photo denoising, movement saliency detection, video coding, key body extraction, and hyperspectral video processing. the ultimate half provides assets and functions in background/foreground separation for video surveillance.
With contributions from best groups world wide, this instruction manual presents an entire review of the suggestions, theories, algorithms, and functions with regards to powerful low-rank and sparse matrix decompositions. it truly is designed for researchers, builders, and graduate scholars in laptop imaginative and prescient, snapshot and video processing, real-time structure, computing device studying, and information mining.
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Extra resources for Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing by Thierry Bouwmans,Necdet Serhat Aybat,El-hadi Zahzah