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Linear Algebra project `Decomposition into Low-Rank and Sparse Matrices in Computer Vision` | Applied Sciences Faculty, UCU (2019)

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
demo		demo
rosl		rosl
rpca		rpca
README.md		README.md
Report.pdf		Report.pdf

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Decomposition into Low-Rank and Sparse Matrices in Computer Vision

This is a final project on the Linear Algebra coursework. Authors: Yaroslava Lochman, Yevhen Pozdniakov.

Here you can find:

implementation of RPCA algorithm: in rpca directory
implementation of ROSL algorithm: in rosl directory
demo and example experiments: in demo directory
Technical Report

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Linear Algebra project `Decomposition into Low-Rank and Sparse Matrices in Computer Vision` | Applied Sciences Faculty, UCU (2019)

video-surveillance sparse-matrix background-modeling robust-pca low-rank-approximation augmented-lagrane-multiplier low-rank-recovery

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