Next Article in Journal
Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers
Previous Article in Journal
Regions Set in Stone—Delimiting and Categorizing Regions in Europe by Settlement Patterns Derived from EO-Data
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(2), 56; doi:10.3390/ijgi6020056

An Original Application of Image Recognition Based Location in Complex Indoor Environments

1
Department of Architecture and Design (DAD), Politecnico di Torino, 10129 Torino, Italy
2
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy
3
Electronic and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 14 December 2016 / Revised: 14 February 2017 / Accepted: 16 February 2017 / Published: 21 February 2017
View Full-Text   |   Download PDF [6923 KB, uploaded 21 February 2017]   |  

Abstract

This paper describes the first results of an image recognition based location (IRBL) for a mobile application focusing on the procedure to generate a database of range images (RGB-D). In an indoor environment, to estimate the camera position and orientation, a prior spatial knowledge of the surroundings is needed. To achieve this objective, a complete 3D survey of two different environments (Bangbae metro station of Seoul and the Electronic and Telecommunications Research Institute (ETRI) building in Daejeon, Republic of Korea) was performed using a LiDAR (Light Detection and Ranging) instrument, and the obtained scans were processed to obtain a spatial model of the environments. From this, two databases of reference images were generated using specific software realised by the Geomatics group of Politecnico di Torino (ScanToRGBDImage). This tool allows us to generate synthetically different RGB-D images centred in each scan position in the environment. Later, the external parameters (X, Y, Z, ω, ϕ , and κ) and the range information extracted from the retrieved database images are used as reference information for pose estimation of a set of acquired mobile pictures in the IRBL procedure. In this paper, the survey operations, the approach for generating the RGB-D images, and the IRB strategy are reported. Finally, the analysis of the results and the validation test are described. View Full-Text
Keywords: image recognition bases location; indoor positioning; RGB-D images; LiDAR; database; mobile computing; image retrieval image recognition bases location; indoor positioning; RGB-D images; LiDAR; database; mobile computing; image retrieval
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chiabrando, F.; Di Pietra, V.; Lingua, A.; Cho, Y.; Jeon, J. An Original Application of Image Recognition Based Location in Complex Indoor Environments. ISPRS Int. J. Geo-Inf. 2017, 6, 56.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top