@InProceedings{brejcha20landscapeAR,
author="Brejcha, Jan
and Luk{\'a}{\v{c}}, Michal
and Hold-Geoffroy, Yannick
and Wang, Oliver
and {\v{C}}ad{\'i}k, Martin",
editor="Vedaldi, Andrea
and Bischof, Horst
and Brox, Thomas
and Frahm, Jan-Michael",
title="Landscape{AR}: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors",
booktitle="Computer Vision -- ECCV 2020",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="295--312",
abstract="We introduce a solution to large scale Augmented Reality for outdoor scenes by registering camera images to textured Digital Elevation Models (DEMs). To accommodate the inherent differences in appearance between real images and DEMs, we train a cross-domain feature descriptor using Structure From Motion (SFM) guided reconstructions to acquire training data. Our method runs efficiently on a mobile device and outperforms existing learned and hand-designed feature descriptors for this task.",
isbn="978-3-030-58526-6"
}