Overview

Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.

Further Improvements

If you would like to list your publication related to this topic on this website, please send me your publication in .pdf and I will add the reference.

Fair Use Policy

As this website gives many information that come from my research, please cite my following survey papers:

T. Bouwmans . A. Sobral, S. Javed, S. Jung, E. Zahzah, "Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset", Computer Science Review, November 2016. [pdf]

T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]

Note: My publications are available on Academia, Research Gate, Researchr, ORCID and Publication List.

Objective

The aim of this web site is to provide ressources such as references (40 papers), codes and links to demonstration websites for the research on decomposition in sparse plus additive matrices by grouping all related researches and particularly recent advances in this field. For this, it is organized in the following sections:

1. Different Problem Formulations (40 papers)

Sparse Dictionary Learning (17 papers), Sparse Linear Approximation (7 papers), Compressing Sensing (16 papers)

2. Minimization Problem

3. Solvers

4. Norms

5. Applications to Computer Vision (16 papers)

5.1 Image Processing

5.2 Video Processing

Foreground/Background Separation (16 papers)

Note: The number in parenthesis gives the total amount of papers or links for the related categories.