Manuel Lange — accepted AI-conference papers

2019

DLD: A Deep Learning Based Line Descriptor for Line Feature Matching

Manuel Lange, Fabian Schweinfurth, Andreas Schilling

IROS 2019poster

In this paper, we present an appearance based line descriptor which was developed with the help of machine learning. Our descriptor uses a ResNet which we modified in its size to improve the performance. We utilized the Unreal Engine and multiple scenes provided for it to create training data. The t…

Cited by 42 Source ↗Scholar ↗

2017

LS-ELAS: Line segment based efficient large scale stereo matching

Radouane Ait Jellal, Manuel Lange, Benjamin Wassermann, Andreas Schilling, Andreas Zell

ICRA 2017poster

We present LS-ELAS, a line segment extension to the ELAS algorithm, which increases the performance and robustness. LS-ELAS is a binocular dense stereo matching algorithm, which computes the disparities in constant time for most of the pixels in the image and in linear time for a small subset of the…

Cited by 44 Source ↗Scholar ↗