LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors

Jan Brejcha; Michal Lukáč; Yannick Hold-Geoffroy; Oliver Wang; Martin Čadík

ECCV 2020poster22 citations

LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors

Jan Brejcha, Michal Lukáč, Yannick Hold-Geoffroy, Oliver Wang, Martin Čadík

Abstract

We introduce a solution to large scale Augmented Reality for outdoor scenes by registering camera images to textured Digital Elevation Models (DEMs). To accomodate the inherent differences in appearance between real images and DEMs, we train a cross-domain feature descriptor using Structure From Motion (SFM) 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."

BibTeX

@inproceedings{eccv2020_landscapearlarge,
  title = {LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors},
  author = {Jan Brejcha and Michal Lukáč and Yannick Hold-Geoffroy and Oliver Wang and Martin Čadík},
  booktitle = {ECCV 2020},
  year = {2020}
}