18 citations · 20 across the 6 of their papers we have counts for
7 papers
Theoretical Foundation of the Weighted Laplace Inpainting Problem
Laurent Hoeltgen, Andreas Kleefeld, Isaac Harris +1
Laplace interpolation is a popular approach in image inpainting using partial differential equations. The classic approach considers the Laplace equation with mixed boundary condit…
Optimisation of photometric stereo methods by non-convex variational minimisation
Georg Radow, Laurent Hoeltgen, Yvain Quéau +1
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. Among the various techniques av…
Clustering-Based Quantisation for PDE-Based Image Compression
Laurent Hoeltgen, Pascal Peter, Michael Breuß
Finding optimal data for inpainting is a key problem in the context of partial differential equation based image compression. The data that yields the most accurate reconstruction…
Highly Robust Clustering of GPS Driver Data for Energy Efficient Driving Style Modelling
Michael Breuß, Laurent Hoeltgen, Ali Sharifi Boroujerdi +1
This paper presents a novel approach to distinguish driving styles with respect to their energy efficiency. A distinct property of our method is that it relies exclusively on Globa…
Sparse l1 Regularisation of Matrix Valued Models for Acoustic Source Characterisation
Laurent Hoeltgen, Michael Breuß, Gert Herold +1
We present a strategy for the recovery of a sparse solution of a common problem in acoustic engineering, which is the reconstruction of sound source levels and locations applying m…
Bregman Iteration for Correspondence Problems: A Study of Optical Flow
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 proce…
Optimising Spatial and Tonal Data for PDE-based Inpainting
Laurent Hoeltgen, Markus Mainberger, Sebastian Hoffmann +6
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by inpainting with a partial differential equation (P…