Mobile Visual Location Recognition

Georg Schroth, Robert Huitl, David M. Chen, Mohammad Abu-Alqumsan, Anas Al-Nuaimi, Eckehard G. Steinbach · IEEE Signal Processing Magazine · 2011

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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