Handbook of robust low-rank and sparse matrix decomposition: applications in image and video processing

'Handbook of Robust Low-Rank and Sparse Matrix Decomposition' 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.