13 citations · 37 across the 6 of their papers we have counts for
9 papers
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Hannes Reichert, Lukas Lang, Kevin Rösch +6
Full-stack autonomous driving perception modules usually consist of data-driven models based on multiple sensor modalities. However, these models might be biased to the sensor setu…
Prediction of progressive lens performance from neural network simulations
Alexander Leube, Lukas Lang, Gerhard Kelch +1
Purpose: The purpose of this study is to present a framework to predict visual acuity (VA) based on a convolutional neural network (CNN) and to further to compare PAL designs. Meth…
Template-Based Image Reconstruction from Sparse Tomographic Data
Lukas F. Lang, Sebastian Neumayer, Ozan Öktem +1
We propose a variational regularisation approach for the problem of template-based image reconstruction from indirect, noisy measurements as given, for instance, in X-ray computed…
A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation Laws
Lukas F. Lang
In this work we consider brightness and mass conservation laws for motion estimation on evolving Riemannian 2-manifolds that allow for a radial parametrisation from the 2-sphere. W…
A Dynamic Programming Solution to Bounded Dejittering Problems
Lukas F. Lang
We propose a dynamic programming solution to image dejittering problems with bounded displacements and obtain efficient algorithms for the removal of line jitter, line pixel jitter…
Optical Flow on Evolving Sphere-Like Surfaces
Lukas F. Lang, Otmar Scherzer
In this work we consider optical flow on evolving Riemannian 2-manifolds which can be parametrised from the 2-sphere. Our main motivation is to estimate cell motion in time-lapse v…
Decomposition of Optical Flow on the Sphere
Clemens Kirisits, Lukas F. Lang, Otmar Scherzer
We propose a number of variational regularisation methods for the estimation and decomposition of motion fields on the -sphere. While motion estimation is based on the optical f…
Optical Flow on Evolving Surfaces with Space and Time Regularisation
Clemens Kirisits, Lukas F. Lang, Otmar Scherzer
We extend the concept of optical flow with spatiotemporal regularisation to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images.…
Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data
Clemens Kirisits, Lukas F. Lang, Otmar Scherzer
We extend the concept of optical flow to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. It is the purpose of this paper to…