Architecture of image feature DB storage for mobile visual localization

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

doi:10.1109/ICACT.2015.7224763

Architecture of image feature DB storage for mobile visual localization

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IEEE 17th International Conference on Advanced Communications Technology
Subtitle of host publication	Named Data Networking - A Future Internet Architecture, ICACT 2015 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	88-91
Number of pages	4
ISBN (Electronic)	9788996865056, 9788996865056, 9788996865056
DOIs	https://doi.org/10.1109/ICACT.2015.7224763
Publication status	Published - 2015 Aug 25
Event	17th IEEE International Conference on Advanced Communications Technology, ICACT 2015 - PyeonhChang, Korea, Republic of Duration: 2015 Jul 1 → 2015 Jul 3

Publication series

Name	International Conference on Advanced Communication Technology, ICACT
Volume	2015-August
ISSN (Print)	1738-9445

Other

Other	17th IEEE International Conference on Advanced Communications Technology, ICACT 2015
Country/Territory	Korea, Republic of
City	PyeonhChang
Period	15/7/1 → 15/7/3

Bibliographical note

Publisher Copyright:
© 2015 Global IT Research Institute (GiRI).

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ICACT.2015.7224763

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). Article 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 et al. / 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).

@inproceedings{b1d1bd69f94a481d968d031eb358bb51,

title = "Architecture of image feature DB storage for mobile visual localization",

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.",

author = "Donghyun Jeon and Seonghyun Kim and Sanghoon Lee and Jeon, {Ju Il}",

note = "Publisher Copyright: {\textcopyright} 2015 Global IT Research Institute (GiRI).; 17th IEEE International Conference on Advanced Communications Technology, ICACT 2015 ; Conference date: 01-07-2015 Through 03-07-2015",

year = "2015",

month = aug,

day = "25",

doi = "10.1109/ICACT.2015.7224763",

language = "English",

series = "International Conference on Advanced Communication Technology, ICACT",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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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 et al.
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 proceeding › Conference contribution

TY - GEN

T1 - Architecture of image feature DB storage for mobile visual localization

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AU - Jeon, Ju Il

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N2 - 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.

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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M3 - Conference contribution

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T3 - International Conference on Advanced Communication Technology, ICACT

SP - 88

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BT - IEEE 17th International Conference on Advanced Communications Technology

PB - Institute of Electrical and Electronics Engineers Inc.

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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). doi: 10.1109/ICACT.2015.7224763

Architecture of image feature DB storage for mobile visual localization

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