Handbook of sturdy Low-Rank and Sparse Matrix Decomposition: purposes in photo and Video Processing exhibits you the way strong subspace studying and monitoring by way of decomposition into low-rank and sparse matrices supply an appropriate framework for machine imaginative and prescient functions. Incorporating either present and new rules, the ebook comfortably grants one-stop entry to a couple of diverse decompositions, algorithms, implementations, and benchmarking techniques.
Divided into 5 components, the booklet starts with an total creation to strong central part research (PCA) through decomposition into low-rank and sparse matrices. the second one half addresses powerful matrix factorization/completion difficulties whereas the 3rd half makes a speciality of strong on-line subspace estimation, studying, and monitoring. overlaying functions in picture and video processing, the fourth half discusses picture research, picture denoising, movement saliency detection, video coding, key body extraction, and hyperspectral video processing. the ultimate half offers assets and functions in background/foreground separation for video surveillance.
With contributions from prime groups world wide, this guide presents an entire evaluate of the options, theories, algorithms, and purposes concerning powerful low-rank and sparse matrix decompositions. it really is designed for researchers, builders, and graduate scholars in desktop imaginative and prescient, picture and video processing, real-time structure, computer studying, and knowledge mining.