LandscapeAR
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APR34225" target="_blank" >RIV/00216305:26230/20:PR34225 - isvavai.cz</a>
Result on the web
<a href="https://github.com/brejchajan/LandscapeAR" target="_blank" >https://github.com/brejchajan/LandscapeAR</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
LandscapeAR
Original language description
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. This project implements our research paper LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors (http://cphoto.fit.vutbr.cz/LandscapeAR/), which has been published on the European Conference on Computer Vision - ECCV 2020.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTAIZ19004" target="_blank" >LTAIZ19004: Deep-Learning Approach to Topographical Image Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
LandscapeAR
Technical parameters
https://github.com/brejchajan/LandscapeAR
Economical parameters
Produkt se poskytuje zdarma na základě uvedené licenční smlouvy.
Owner IČO
00216305
Owner name
Vysoké učení technické v Brně