18 citations · 20 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…