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Large-scale outdoor augmented reality scenes using camera pose based on learned descriptors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APA21845" target="_blank" >RIV/00216305:26230/23:PA21845 - isvavai.cz</a>

  • Result on the web

    <a href="https://ppubs.uspto.gov/dirsearch-public/print/downloadPdf/11568642" target="_blank" >https://ppubs.uspto.gov/dirsearch-public/print/downloadPdf/11568642</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Large-scale outdoor augmented reality scenes using camera pose based on learned descriptors

  • 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.

  • Czech name

  • Czech description

Classification

  • Type

    P - Patent

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

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

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Patent/design ID

    US11568642B2

  • Publisher

    US001 -

  • Publisher name

    United States Patent and Trademark Office (USPTO)

  • Place of publication

    Alexandria

  • Publication country

    US - UNITED STATES

  • Date of acceptance

    Jan 31, 2023

  • Owner name

    Adobe VUT Brno

  • Method of use

    A - Výsledek využívá pouze poskytovatel

  • Usage type

    A - K využití výsledku jiným subjektem je vždy nutné nabytí licence