Architecture of image feature DB storage for mobile visual localization

Donghyun Jeon, Seonghyun Kim, Sanghoon Lee, Ju Il Jeon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Location-based services (LBS) are becoming increasingly popular. Particularly, indoor mobile localization methods that use GPS or wireless signals have problem of accuracy yet. This article presents a novel system to mobile visual localization according to a given image associated with a variety of wireless signals in indoor environment. Recently structure from motion (SfM) approaches enable to create 3D models of scenes. These reconstructed sparse 3D-point clouds can then be used for accurate image-based localization by 3D-to-2D feature matching from database. Our proposed structure of storage in database is able to efficiently handle such large amounts of image feature data.

Original languageEnglish
Title of host publicationIEEE 17th International Conference on Advanced Communications Technology
Subtitle of host publicationNamed Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-91
Number of pages4
ISBN (Electronic)9788996865056, 9788996865056, 9788996865056
DOIs
Publication statusPublished - 2015 Aug 25
Event17th IEEE International Conference on Advanced Communications Technology, ICACT 2015 - PyeonhChang, Korea, Republic of
Duration: 2015 Jul 12015 Jul 3

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume2015-August
ISSN (Print)1738-9445

Other

Other17th IEEE International Conference on Advanced Communications Technology, ICACT 2015
CountryKorea, Republic of
CityPyeonhChang
Period15/7/115/7/3

Fingerprint

Location based services
Global positioning system

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Jeon, D., Kim, S., Lee, S., & Jeon, J. I. (2015). Architecture of image feature DB storage for mobile visual localization. In IEEE 17th International Conference on Advanced Communications Technology: Named Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding (pp. 88-91). [7224763] (International Conference on Advanced Communication Technology, ICACT; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACT.2015.7224763
Jeon, Donghyun ; Kim, Seonghyun ; Lee, Sanghoon ; Jeon, Ju Il. / Architecture of image feature DB storage for mobile visual localization. IEEE 17th International Conference on Advanced Communications Technology: Named Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 88-91 (International Conference on Advanced Communication Technology, ICACT).
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abstract = "Location-based services (LBS) are becoming increasingly popular. Particularly, indoor mobile localization methods that use GPS or wireless signals have problem of accuracy yet. This article presents a novel system to mobile visual localization according to a given image associated with a variety of wireless signals in indoor environment. Recently structure from motion (SfM) approaches enable to create 3D models of scenes. These reconstructed sparse 3D-point clouds can then be used for accurate image-based localization by 3D-to-2D feature matching from database. Our proposed structure of storage in database is able to efficiently handle such large amounts of image feature data.",
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Jeon, D, Kim, S, Lee, S & Jeon, JI 2015, Architecture of image feature DB storage for mobile visual localization. in IEEE 17th International Conference on Advanced Communications Technology: Named Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding., 7224763, International Conference on Advanced Communication Technology, ICACT, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 88-91, 17th IEEE International Conference on Advanced Communications Technology, ICACT 2015, PyeonhChang, Korea, Republic of, 15/7/1. https://doi.org/10.1109/ICACT.2015.7224763

Architecture of image feature DB storage for mobile visual localization. / Jeon, Donghyun; Kim, Seonghyun; Lee, Sanghoon; Jeon, Ju Il.

IEEE 17th International Conference on Advanced Communications Technology: Named Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. p. 88-91 7224763 (International Conference on Advanced Communication Technology, ICACT; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Location-based services (LBS) are becoming increasingly popular. Particularly, indoor mobile localization methods that use GPS or wireless signals have problem of accuracy yet. This article presents a novel system to mobile visual localization according to a given image associated with a variety of wireless signals in indoor environment. Recently structure from motion (SfM) approaches enable to create 3D models of scenes. These reconstructed sparse 3D-point clouds can then be used for accurate image-based localization by 3D-to-2D feature matching from database. Our proposed structure of storage in database is able to efficiently handle such large amounts of image feature data.

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Jeon D, Kim S, Lee S, Jeon JI. Architecture of image feature DB storage for mobile visual localization. In IEEE 17th International Conference on Advanced Communications Technology: Named Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2015. p. 88-91. 7224763. (International Conference on Advanced Communication Technology, ICACT). https://doi.org/10.1109/ICACT.2015.7224763