52 citations · 56 across the 6 of their papers we have counts for
7 papers
The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising
Yair Censor, Aviv Gibali, Frank Lenzen +1
The implicit convex feasibility problem attempts to find a point in the intersection of a finite family of convex sets, some of which are not explicitly determined but may vary. We…
Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations
Johannes Berger, Frank Lenzen, Florian Becker +2
Camera motion estimation from observed scene features is an important task in image processing to increase the accuracy of many methods, e.g. optical flow and structure-from-motion…
Second Order Minimum Energy Filtering on with Nonlinear Measurement Equations
Johannes Berger, Andreas Neufeld, Florian Becker +2
Accurate camera motion estimation is a fundamental building block for many Computer Vision algorithms. For improved robustness, temporal consistency of translational and rotational…
Solving QVIs for Image Restoration with Adaptive Constraint Sets
Frank Lenzen, Jan Lellmann, Florian Becker +1
We consider a class of quasi-variational inequalities (QVIs) for adaptive image restoration, where the adaptivity is described via solution-dependent constraint sets. In previous w…
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
Jan Lellmann, Frank Lenzen, Christoph Schnörr
We consider a variational convex relaxation of a class of optimal partitioning and multiclass labeling problems, which has recently proven quite successful and can be seen as a con…
Robust Reconstruction from Chopped and Nodded Images
Frank Lenzen, Otmar Scherzer, Sabine Schindler
In ground based infrared imaging a well-known technique to reduce the influence of thermal and background noise is chopping and nodding, where four different signals of the same ob…