NDLI: Accurate Location of Façades of Interest in Street View Panoramic Sequences

Content Provider	IEEE Xplore Digital Library
Author	Araujo, A.A. Sampaio, J.C. Evangelista, R.S. Mantuan, A.B. Fernandes, L.A.F.
Copyright Year	2015
Description	Author affiliation: Inst. de Comput., Univ. Fed. Fluminense, Niteroi, Brazil (Araujo, A.A.; Sampaio, J.C.; Evangelista, R.S.; Mantuan, A.B.; Fernandes, L.A.F.)
Abstract	Geo-spatial queries, i.e., Queries that combine location data with other kinds of input, have taken huge importance in the last generation of search engines. The success of a geo-spatial search depends on the quality of the positioning information provided, for instance, by GPS-enabled smartphones. Therefore, the quality of the GPS signal and the quality of the built-in GPS may affect the accuracy of the estimated location, and hence the quality of the searching result. This paper proposes an automatic image-based solution for improving the estimation of the geographical coordinates of a building of interest on which a geo-spatial search will be performed. Our approach uses the inaccurate GPS coordinates estimated by smartphones as starting point for automated visual search into a graph of streets enhanced with street view panoramic sequences. During the search, our approach uses a query image of the building of interest to identify which panoramic views include the building's façade. From the geographical location of the panoramic views and from the best matching directions of the given image with the panoramic images, our approach triangulates the location of the target building. In addition, our approach estimates the uncertainty in the computed locations by modeling the error propagation along the triangulation procedure. We evaluate our method on several real images of buildings.
Starting Page	281
Ending Page	288
File Size	4523633
Page Count	8
File Format	PDF
ISSN	15301834
e-ISBN	9781467379625
DOI	10.1109/SIBGRAPI.2015.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-26
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buildings Global Positioning System Uncertainty Smart phones Google Computational modeling Feature extraction error propagation street view geographical coordinates environment map feature extraction feature matching
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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