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…
Photometric stereo for strong specular highlights
Maryam Khanian, Ali Sharifi Boroujerdi, Michael Breuß
Photometric stereo (PS) is a fundamental technique in computer vision known to produce 3-D shape with high accuracy. The setting of PS is defined by using several input images of a…
Deep Interactive Region Segmentation and Captioning
Ali Sharifi Boroujerdi, Maryam Khanian, Michael Breuss
With recent innovations in dense image captioning, it is now possible to describe every object of the scene with a caption while objects are determined by bounding boxes. However,…
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…
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…