no code implementations • 25 Jun 2014 • Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber
In this paper, we propose a co-sparse analysis model that is able to capture the interdependency of two image modalities.
no code implementations • 17 Dec 2013 • Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe, Martin Kleinsteuber
We propose an algorithm for segmenting natural images based on texture and color information, which leverages the co-sparse analysis model for image segmentation within a convex multilabel optimization framework.
no code implementations • CVPR 2013 • Simon Hawe, Matthias Seibert, Martin Kleinsteuber
Many techniques in computer vision, machine learning, and statistics rely on the fact that a signal of interest admits a sparse representation over some dictionary.
no code implementations • 19 Apr 2013 • Martin Kiechle, Simon Hawe, Martin Kleinsteuber
High-resolution depth maps can be inferred from low-resolution depth measurements and an additional high-resolution intensity image of the same scene.
no code implementations • 24 Apr 2012 • Simon Hawe, Martin Kleinsteuber, Klaus Diepold
Our method is based on an $\ell_p$-norm minimization on the set of full rank matrices with normalized columns.