Detail publikace

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.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

17. 8. 2020

Nakladatel

Springer Nature Switzerland AG

Místo

Cham

ISBN

978-3-030-58525-9

Kniha

Computer Vision - ECCV 2020

Edice

Lecture Notes in Computer Science

Strany od

295

Strany do

312

Strany počet

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"
}