NDLI: 3D versus 2D based indoor image matching analysis on images from low cost mobile devices

Content Provider	IEEE Xplore Digital Library
Author	Khan, N. McCane, B. Mills, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Otago, Dunedin, New Zealand (Khan, N.; McCane, B.; Mills, S.)
Abstract	Because of the increasing popularity of camera-equipped mobile devices, image matching techniques offer a potential solution for indoor localisation problems. However, image matching is challenging indoors because different indoor locations can look very similar. In this paper, we compare two image-based localisation approaches on realistic datasets that include images from cameras of varying quality. The first approach is based on 3D matching and the second on 2D matching. The comparison shows that 3D image matching crucially depends upon on the quality of the camera and its correct image matching accuracy ranges from 62-92% depending on the dataset. In contrast, the matching accuracy of 2D image matching is consistent across all cameras and ranges from 80-95%. In terms of computational efficiency, the 2D method is five times more efficient, but both methods are fast enough for many applications. We further investigate the performance of the 2D approach on four realistic indoor datasets with 50 indoor locations, such as corridors, halls, atrium or offices. Four out of five test sets have correct acceptance greater than 85% showing that image-based methods are viable for indoor localisation applications.
Sponsorship	IEEE New Zealand Central Sect.
Starting Page	253
Ending Page	258
File Size	281204
Page Count	6
File Format	PDF
ISSN	21512191
e-ISBN	9781479908837
DOI	10.1109/IVCNZ.2013.6727025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-27
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Solid modeling Three-dimensional displays Simultaneous localization and mapping Image recognition Image matching Computational modeling Cameras Feature extraction Mobile handsets Computer Vision Image reconstruction
Content Type	Text
Resource Type	Article

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