DMCA
Image Based Localization in Indoor Environments
| Citations: | 4 - 1 self |
BibTeX
@MISC{Liang_imagebased,
author = {Jason Zhi Liang and Nicholas Corso and Eric Turner and Avideh Zakhor},
title = {Image Based Localization in Indoor Environments},
year = {}
}
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Abstract
Image based localization is an important problem with many applications. In our previous work, we presented a two step pipeline for performing image based localization of mobile devices in outdoor environments. In the first step, a query image is matched against a georeferenced 3D image database to retrieve the “closest ” image. In the second step, the pose of the query image is recovered with respect to the “closest ” image using cell phone sensors. As such, a key ingredient of our outdoor image based localization is a 3D georeferenced image database. In this paper, we extend this approach to indoors by utilizing a 3D locally referenced image database generated by an ambulatory depth acquisition backpack that is originally developed for 3D modeling of indoor environments. We demonstrate retrieval rate of 94% over a set of 83 query images taken in an indoor shopping center and characterize pose recovery accuracy of the same set.
Keyphrases
indoor environment query image image database step pipeline keywords image retrieval first step indoor localization indoor shopping center pose recovery accuracy many application retrieval rate ambulatory depth acquisition backpack abstract image important problem previous work cell phone sensor mobile device outdoor image second step outdoor environment georeferenced image database key ingredient
