Mobile Visual Location Recognition

Georg Schroth; Robert Huitl; David Chen; Mohammad Abu-Alqumsan; Anas Al-Nuaimi; Eckehard Steinbach

doi:10.1109/MSP.2011.940882

Mobile Visual Location Recognition

Georg Schroth
, Robert Huitl
, David Chen
, Mohammad Abu-Alqumsan
, Anas Al-Nuaimi
, Eckehard Steinbach

Technical University of Munich
Stanford University
Karlsruher Institut fur Technologie

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

102 Citations (Scopus)

Abstract

With recent advances in CBIR, mobile visual location recognition becomes feasible. Using video recordings of a mobile device as a visual fingerprint of the environment and matching them to a georeferenced database provides pose information in a very natural way. Hence, LBSs can be provided without complex infrastructure in areas where the accuracy and availability of GPS is limited. This includes indoor environments where georeferenced data are just about to become publicly available.

Original language	English
Title of host publication	IEEE Signal Processing Magazine
Publisher	IEEE
Pages	77-89
Number of pages	13
Volume	28
DOIs	https://doi.org/10.1109/MSP.2011.940882
Publication status	Published - Jul 2011
Externally published	Yes

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10.1109/MSP.2011.940882

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5888650

Cite this

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title = "Mobile Visual Location Recognition",

abstract = "With recent advances in CBIR, mobile visual location recognition becomes feasible. Using video recordings of a mobile device as a visual fingerprint of the environment and matching them to a georeferenced database provides pose information in a very natural way. Hence, LBSs can be provided without complex infrastructure in areas where the accuracy and availability of GPS is limited. This includes indoor environments where georeferenced data are just about to become publicly available.",

author = "Georg Schroth and Robert Huitl and David Chen and Mohammad Abu-Alqumsan and Anas Al-Nuaimi and Eckehard Steinbach",

year = "2011",

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AU - Huitl, Robert

AU - Chen, David

AU - Abu-Alqumsan, Mohammad

AU - Al-Nuaimi, Anas

AU - Steinbach, Eckehard

PY - 2011/7

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AB - With recent advances in CBIR, mobile visual location recognition becomes feasible. Using video recordings of a mobile device as a visual fingerprint of the environment and matching them to a georeferenced database provides pose information in a very natural way. Hence, LBSs can be provided without complex infrastructure in areas where the accuracy and availability of GPS is limited. This includes indoor environments where georeferenced data are just about to become publicly available.

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U2 - 10.1109/MSP.2011.940882

DO - 10.1109/MSP.2011.940882

M3 - Chapter

VL - 28

SP - 77

EP - 89

BT - IEEE Signal Processing Magazine

PB - IEEE

ER -

Mobile Visual Location Recognition

Abstract

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