Optimisation of photometric stereo methods by non-convex variational minimisation

no code implementations • 29 Sep 2017 • Georg Radow, Laurent Hoeltgen, Yvain Quéau, Michael Breuß

Estimating shape and appearance of a three dimensional object from a given set of images is a classic research topic that is still actively pursued.

Clustering-Based Quantisation for PDE-Based Image Compression

no code implementations • 20 Jun 2017 • Laurent Hoeltgen, Pascal Peter, Michael Breuß

We are lead to the central question which kind of feature vectors are best suited for image compression.

Clustering Image Compression

Bregman Iteration for Correspondence Problems: A Study of Optical Flow

no code implementations • 5 Oct 2015 • Laurent Hoeltgen, Michael Breuß

Bregman iterations are known to yield excellent results for denoising, deblurring and compressed sensing tasks, but so far this technique has rarely been used for other image processing problems.

Deblurring Denoising +2

Optimising Spatial and Tonal Data for PDE-based Inpainting

no code implementations • 15 Jun 2015 • Laurent Hoeltgen, Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Simon Setzer, Daniel Johannsen, Frank Neumann, Benjamin Doerr

Moreover, is more generic than other data optimisation approaches for the sparse inpainting problem, since it can also be extended to nonlinear inpainting operators such as EED.

Image Compression