Applied result detail

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

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

Original Title

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

English Title

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

Type

Patent

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.

English 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

camera pose estimation, outdoor scenes, augmented reality, learned descriptors

Key words in English

camera pose estimation, outdoor scenes, augmented reality, learned descriptors

Patent number

US11568642B2

Date of application

12.10.2020

Date of registration

31.01.2023

Owner

Adobe VUT Brno

Licence fee

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URL

https://ppubs.uspto.gov/dirsearch-public/print/downloadPdf/11568642