Publication detail

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

BREJCHA, J. LUKÁČ, M. HOLD-GEOFFROY, Y. WANG, O. ČADÍK, M.

Original Title

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

Type

conference paper

Language

English

Original 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.

Keywords

augmented reality, descriptor matching, cross domain matching, camera calibration, visual localization, structure-from-motion, terrain model, digital elevation model, photograph, computational photography

Authors

BREJCHA, J.; LUKÁČ, M.; HOLD-GEOFFROY, Y.; WANG, O.; ČADÍK, M.

Released

17. 8. 2020

Publisher

Springer Nature Switzerland AG

Location

Cham

ISBN

978-3-030-58525-9

Book

Computer Vision - ECCV 2020

Edition

Lecture Notes in Computer Science

Pages from

295

Pages to

312

Pages count

18

URL

https://link.springer.com/chapter/10.1007/978-3-030-58526-6_18

BibTex

@inproceedings{BUT168487,
  author="Jan {Brejcha} and Michal {Lukáč} and Yannick {Hold-Geoffroy} and Oliver {Wang} and Martin {Čadík}",
  title="LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors",
  booktitle="Computer Vision - ECCV 2020",
  year="2020",
  series="Lecture Notes in Computer Science",
  volume="12374",
  pages="295--312",
  publisher="Springer Nature Switzerland AG",
  address="Cham",
  doi="10.1007/978-3-030-58526-6\{_}18",
  isbn="978-3-030-58525-9",
  url="https://link.springer.com/chapter/10.1007/978-3-030-58526-6_18"
}